Relevant bibliographies by topics / PAC

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'PAC'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "PAC"

1

Fawwas Asrory, Fahriza, Seniola Sima Datuan, Anthonius Dhinar Hasto Wisnugroho, and Ramy Yahya. "ANALISIS RISIKO RANTAI PASOK MENGGUNAKAN METODE SUPPLY CHAIN OPERATION REFERENCE (SCOR) DAN HOUSE OF RISK (HOR) PADA RUMAH PRODUKSI BERAS SIUNG MAS PT BERAU COAL." Industri Inovatif : Jurnal Teknik Industri 14, no. 1 (April 11, 2024): 50–60. http://dx.doi.org/10.36040/industri.v14i1.8309.

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Rumah produksi Beras Siung Mas didirikan oleh Yayasan Dharma Bhakti Berau Coal dan menjadi unit bisnis yang dikelola oleh tim Community Enterprise Development (CED) sebagai upaya memberdayakan dan membangun kemandirian petani lokal di Kabupaten Berau. Penelitian ini bertujuan untuk mengidentifikasi risiko rantai pasok pada jaringan rantai pasok rumah produksi Beras Siung Mas. Berdasarkan hasil identifikasi risiko menggunakan metode SCOR dan HOR diperoleh 20 kejadian risiko dan 27 sumber risiko dengan 4 sumber risiko prioritas yaitu: waktu proses pengeringan yang lama (A9), pengaruh cuaca (A4), penyimpanan gabah terlalu lama (A17) dan proses pengeringan yang kurang sempurna (A8). Ada 10 rekomendasi mitigasi risiko untuk menangani sumber risiko prioritas dan kemudian dilakukan perangkingan berdasarkan nilai Effectiveness to Difficulty (ETD) yaitu: dilakukan pengukuran kadar air untuk gabah (PA10), memperbanyak pembelian gabah kering siap giling dari petani (PA2), pembuatan Standard Operating Procedure (SOP) proses pengeringan gabah (PA9), melakukan pembalikan gabah secara berkala selama proses penjemuran (PA1), menerapkan sistem FIFO (First In First Out) (PA8), memberikan label tanggal masuk gabah ke gudang (PA7), memperbaiki tempat penjemuran gabah (PA3), menyediakan stok gabah siap giling (PA4), menerapkan manajemen pemilihan musim tanam yang tepat (PA5) dan penamahan tenaga kerja (PA6).
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Riskiana, Wulan, Moehamad Aman, and Affan Rifa'i. "Analisis Risiko Rantai Pasok Dengan House of Risk di PT. Petrogas Prima Service." Borobudur Engineering Review 1, no. 2 (September 28, 2021): 89–95. http://dx.doi.org/10.31603/benr.3165.

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Perkembangan manajemen rantai pasok menfokuskan pada kajian tentang efektifitas dan efisiensi aliran barang, sistem informasi dan aliran keuangan sehingga mencakup semua rantai pasok dengan semua pihak yang bersangkutan. Salah satu permasalahan yang dihadapi dalam PT Petrogas Prima Services perusahaan repair tabung gas LPG volume 3 kg adalah keterlambatan kedatangan material. Pada pengiriman sealtape hanya 97,4% dari pemesanan, Pada pemesanan valve melebihi hari pengiriman dan pada saat distribusi terdapat kendala yang tidak bisa diprediksi. Oleh kerena itu, dibutuhkan manajemen rantai pasok untuk koordinasi dan mengelola aktifitas rantai pasok supaya proses produksi berjalan dengan baik dan tidak ada keterlambatan produksi maupun distribusi. Penelitian ini dilakukan untuk menganalisis risiko pada aktivitas rantai pasok mengunakan metode House of Risk. Dari House of risk fase I menghasilkan 5 penyebab risiko dominan yaitu gangguan teknis (mesin tidak optimal), karyawan kurang teliti, perencanan kurang maksimal, babhan baku tidak sesuai dan system informasi yang tidak efektif. Melalui House of Risk Fase II dihasilkan 13 langkah aksi pencegahan yang direkomendasikan bagi perusahaan untuk mengurangi potensi kejadian risiko, yaitu melakukan pemeriksaan rutin (PA2), melakukan pencegahan (PA4), menyusun SOP perawatan (mesin/transportasi) (PA1), pembagian sift kerja yang sesuai (PA5), menejemen persediaan sperpart mesin (PA3), pengendalian bahan baku (PA11), pengadaan training (PA6), menyusun SOP pengadaan (inventory) dan supplier (PA8), meningkatkan pengelolaan terhadap menenjemen (PA9), menyusun alternative perencanaan (PA10), pelatihan (PA13), pemberian sangsi disiplin (PA7), dan dukungan software (PA12).
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Robinson, D. L., S. Dominik, A. J. Donaldson, and V. H. Oddy. "Repeatabilities, heritabilities and correlations of methane and feed intake of sheep in respiration and portable chambers." Animal Production Science 60, no. 7 (2020): 880. http://dx.doi.org/10.1071/an18383.

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Context Knowledge of genetic and phenotypic variation and the accuracy of different measurement techniques is needed to successfully reduce livestock methane (CH4) emissions. Aims To estimate repeatabilities, heritabilities and genetic correlations of respiration-chamber (RC) and portable accumulation-chamber (PAC) measurements using two different protocols but the same management and feeding conditions. Methods Australian Information Nucleus Flock ewes were measured in seven test-batches. The 510 ewes were removed from pasture and habituated to chaffed alfalfa and cereal hay at 1.5–1.6 times maintenance. Methane was measured in RC for two 22-h periods approximately 14 days apart, and 40 min in PAC, either immediately after removal from individual pens (with feed as described above, PAC0), or 1-h after withdrawing feed (PAC1). There were up to 48 PAC0 tests per day (at 0930 hours, 1100 hours, 1230 hours, 1400 hours in 12 PAC) and 24 PAC1 tests per day (at 1100 hours and 1300 hours). Test methods (RC, PAC0, PAC1) were analysed as different traits in a multi-trait repeated-measures model. Key results Before adjustment for liveweight (Lwt) or feed intake (FI), CH4 was highly repeatable (RC 78%, PAC0 83%, PAC1 82%), with heritabilities of 39–55%, permanent environmental (PE) animal variances 23–43% of phenotypic variances (Vp), high genetic correlations between methods (98–100%), and lower PE correlations (44–58%). A second PAC test on the same day decreased CH4 by 8–12% compared with the ewe’s first test that day. Heritabilities of FI from 0800 hours until the test was complete (FIOD) were 16–17% (PAC) and 25% (RC) before adjusting for Lwt, with high PE variances (PAC 67–73%, RC 41% of Vp). FI in the previous 24 h was highly heritable and much less variable than was FIOD in the RC, suggesting that testing introduced additional variation by disrupting feeding patterns. After adjusting CH4 for Lwt, FIOD and FI in the previous 24 h and Lwt, some additive genetic variation remained, averaging 17% of Vp. Multivariate models of CH4 and FI, fitting a single animal term (representing genetic+PE variation) showed high animal correlations between FI and CH4, namely, 90–95% before, and 86–95% after adjusting for Lwt. Conclusions PAC measurements are heritable and highly correlated with RC measurements under similar management conditions. The high genetic and animal correlations of PAC CH4 and FI imply that CH4 is a useful proxy for FI of grazing animals.
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Oh, Soyeon, Dae-Hyun Hahm, and Yong-Bok Choi. "Antimicrobial Activity and Cytotoxicity of Prepolymer Allyl 2-cyanoacrylate and 2-Octyl Cyanoacrylate Mixture Adhesives for Topical Wound Closure." Materials 16, no. 9 (April 27, 2023): 3427. http://dx.doi.org/10.3390/ma16093427.

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The development of a new skin adhesive that can be used inside and outside the body, which prevents infection and has fewer scars and less side effects, is currently attracting attention from the scientific community. To improve biocompatibility, prepolymer allyl 2-cyanoacrylate (PAC) and 2-octyl cyanoacrylate (OC) were mixed in various proportions and tested for their therapeutic potential as skin adhesives. A series of skin adhesive samples prepared by mixing PAC, OC, and additives with % (w/w) ratios of 100:0:0, 0:100:0, 70:0:30, 40:30:30, and 30:40:30 were tested to determine their antimicrobial activity, cell cytotoxicity, and formaldehyde release. The additives include myristic acid and dibutyl sebacate as plasticizers and butylated hydroxyanisole as an antioxidant. It was observed that the samples containing 70% PAC (PAC7) or 40% PAC (PAC4) with 30% additives had the highest antimicrobial activities against various microbial cells and no cytotoxicity regarding in vitro fibroblast cell growth. In addition, these formulations of adhesive samples released formaldehyde within the levels permitted for medical devices. Taken together, the mixture of PAC and OC as a topical skin adhesive for wound closure was found to be biocompatible, mechanically stable and safe, as well as effective for wound healing.
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Wang, Shuo, Anne H. Blaes, Josef Coresh, Corinne E. Joshu, James S. Pankow, Bharat Thyagarajan, Elizabeth A. Platz, Weihua Guan, and Anna Prizment. "Abstract A022: Proteomic age acceleration associated with all-cause mortality in cancer survivors in the Atherosclerosis Risk in Communities (ARIC) Study. [R]." Cancer Research 83, no. 2_Supplement_1 (January 15, 2023): A022. http://dx.doi.org/10.1158/1538-7445.agca22-a022.

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Abstract Background: Longer lifespan and improved cancer treatment led to a rapid rise in the number of cancer survivors. However, many cancer survivors have physiological dysregulations at earlier chronological ages than those without cancer, suggesting that cancer survivors’ biological age is higher than their chronological age, i.e., they have accelerated aging. Cancer survivors’ biological age may be estimated by a novel proteomic aging clock (PAC). The deviation of PAC from chronological age is called proteomic age acceleration (PAA). To our knowledge, no studies examined whether PAA in cancer survivors is associated with increased all-cause mortality. We studied PAAs of two PACs – a newly created clock in ARIC (so called, “new” PAC) and the published 491-protein clock by Lehallier [2020] in relation to all-cause mortality in cancer survivors. Methods: ARIC is a prospective cohort of White and Black women and men, followed in 1987-2019. In 2011-13 (Visit 5), 5000 plasma proteins were measured using SomaScan, an aptamer-based assay. Using elastic net regression (alpha=0.5), we constructed a new PAC in a training set of two-thirds randomly selected cancer-free participants (N = 2466). This clock included 619 proteins and was internally validated in the remaining 1233 cancer-free participants (test set). We also computed Lehallier’s PAC using weights estimated in ARIC. We calculated PAA as residuals after regressing PAC on chronological age. We used Cox proportional hazards regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality per 1 standard deviation (SD, ~2.6 yrs for PAAs for both PACs) increase in PAA in 806 survivors of all cancer at Visit 5, and survivors of breast, prostate, and colorectal cancer. HRs were adjusted for chronological age, sex, race, center, education, BMI, smoking status, alcohol intake, eGFR, physical activity, time since cancer diagnosis, diabetes, and aspirin use. Results: 272 deaths were identified in 4963 person-yrs (median follow-up=6.98 yrs). In the test set, both PACs were correlated with chronological age [Pearson correlation coefficient (r): new PAC=0.75; Lehallier’s PAC=0.70] and with each other [r=0.89]. For both PACs, those with higher PAA tended to be White and have lower physical activity and a lower eGFR. Both PAAs were significantly associated with all-cause mortality in cancer survivors [per 1 SD: HR (95% CI): new PAC=1.42 (1.24-1.62); Lehallier’s PAC=1.40 (1.22-1.61)]. The HRs were not modified by sex or race. Both PAAs were significantly associated with all-cause mortality in 169 breast cancer survivors [HR: new PAC=1.54 (1.05-2.25); Lehallier’s PAC=1.72 (1.13-2.64)]. PAA of the new PAC was also associated with all-cause mortality in 78 colorectal cancer survivors [HR=1.96 (1.19-3.22)]. PAA for each PAC was not associated with all-cause mortality in 255 prostate cancer survivors. Conclusion: Proteomic aging clocks hold the promise as a potential biomarker for premature mortality in cancer survivors. Funding: NHLBI, NCI, NPCR Citation Format: Shuo Wang, Anne H. Blaes, Josef Coresh, Corinne E. Joshu, James S. Pankow, Bharat Thyagarajan, Elizabeth A. Platz, Weihua Guan, Anna Prizment. Proteomic age acceleration associated with all-cause mortality in cancer survivors in the Atherosclerosis Risk in Communities (ARIC) Study. [R] [abstract]. In: Proceedings of the AACR Special Conference: Aging and Cancer; 2022 Nov 17-20; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_1):Abstract nr A022.
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Cai, J., M. F. Burrow, D. J. Manton, and J. E. A. Palamara. "Using Proanthocyanidin as a Root Dentin Conditioner for GIC Restorations." Journal of Dental Research 100, no. 10 (July 14, 2021): 1072–80. http://dx.doi.org/10.1177/00220345211018182.

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Glass ionomer cements (GICs) are considered the material of choice for restoration of root carious lesions (RCLs). When bonding to demineralized dentin, the collapse of dentinal collagen during restorative treatment may pose challenges. Considering its acidic nature and collagen biomodification effects, proanthocyanidin (PAC) could be potentially used as a dentin conditioner to remove the smear layer while simultaneously acting to biomodify the dentinal collagen involved in the bonding interface. In this study, 6.5% w/v PAC was used as a conditioner for sound (SD) and laboratory demineralized (DD) root dentin before bonding to resin-modified GIC (FII), casein phosphopeptide–amorphous calcium phosphate (CPP-ACP)–modified GIC (FVII), or a high-viscosity GIC (FIX). Root dentin conditioned with deionized distilled water (DDW) or polyacrylic acid (PAA) served as controls. Results indicated FII showed higher shear bond strength (SBS) on SD than the other 2 GICs, especially in PAA-conditioned samples; FIX showed significantly higher SBS than FII and FVII on PAA- or PAC-conditioned DD. In each category of GIC, PAA and PAC did not have a significant influence on SBS in most cases compared to DDW except for a significant decrease in PAC-conditioned SD bonded to FII and a significant increase in PAA-conditioned DD bonded to FIX. The bonding interface between GIC and SD was generally more resistant to the acid-base challenge than DD. Although the alterations in failure modes indicated a compromised interfacial interaction between GICs and PAC-treated root dentin, biomodification effects of PAC on dentin were observed from Raman microspectroscopy analysis in terms of the changes in mineral-to-matrix ratio and hydroxyproline-to-proline ratio of dentin adjacent to the bonding interface, especially of DD. Results from this study also indicated the possibility of using in situ characterization such as Raman microspectroscopy as a complementary approach to SBS test to investigate the integrity of the bonding interface.
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Zuza, Milena, Nenad Milosavic, and Zorica Knezevic-Jugovic. "Immobilization of alginate-PAC on Sepabeads EC-HA support." Chemical Industry 65, no. 4 (2011): 431–37. http://dx.doi.org/10.2298/hemind110318041z.

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Penicillin acylase (PAC) is an important industrial enzyme for the production of many ?-lactam antibiotics. It is capable of catalyzing the hydrolysis of penicillin G (Pen G) to generate phenylacetic acid (PAA) and 6-aminopenicillanic acid (6-APA). In this paper, in order to prevent enzyme inactivation, an attempt of coupling enzyme modification and immobilization was presented. Chemical modification was promoted to introduce carbohydrate moiety into the PAC molecule, capable of being covalently linked to an amino support. This seems to provide a possibility to couple the enzyme without risking a reaction at the active site which might cause a loss of activity. PAC molecules were modified by cross-linking with polyaldehyde derivatives of alginate in order to add them new and useful functions. Immobilization of alginate-PAC on Sepabeads EC-HA was used as a model system in order to demonstrate the potential of this strategy. Optimal conditions for covalent immobilization of alginate-PAC from Escherichia coli on support Sepabeads EC-HA, were investigated. The immobilized enzyme was then characterized by evaluating the potential effects of immobilization on its thermal stability, temperature and pH profile in comparison with native non-modified PAC and modified non-immobilized PAC. The maximum amount of the alginate-PAC coupled on the dry support of 99 mg/g was satisfactory. Deactivation rate constants at 50 ?C for free PAC, alginate-PAC and alginate-PAC immobilized on Sepabeads EC-HA were 2,32; 50,65 and 1,68 h-1, respectively. Alginate-PAC and alginate-PAC immobilized on Sepabeads EC-HA had the same pH and temperature optimum as the native non-modified PAC.
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Ferreira, P. B., P. R. N. Rorato, F. C. B. Mello, B. Bevilaqua, A. Macedo, and L. B. P. Brittes. "Egg production evaluation of laying hens by multivariate analysis." Arquivo Brasileiro de Medicina Veterinária e Zootecnia 69, no. 3 (June 2017): 676–82. http://dx.doi.org/10.1590/1678-4162-8540.

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ABSTRACT This study aimed to verify the existence of differences between hens from the Barred Plymouth Rock (PRB) breed and White Plymouth Rock (PRW) breed by multivariate analysis of weekly egg production and cumulative during the years of 1998 and 2010, from the Laboratório de Avicultura (LAVIC) of the Departamento de Zootecnia at the Universidade Federal de Santa Maria (UFSM). For the analysis of the univariate and multivariate variance, the experimental design was completely randomized with two treatments (breed) and 299 repetitions of the PRW breed and 350 of the PRB breed. The parameters analyzed were the weekly productions of eggs per bird from the 21st to the 50th week of age (P21, P22, ..., P50) and production of eggs accumulated being from the 21st to the 25th (PA1), 21st to the 30th (PA2), 21st to the 35th (PA3), 21st to the 40th (PA4), 21st to the 45th (PA5) and 21st to 50th (PA6). Analyzes of univariate and multivariate variance were conducted and the comparison of means were made by "T" Student and Wilks respectively (P < 0, 05). Based on the results, an analysis of the principal components was performed with parameters PA1, PA2, PA4, PA5 and PA6. With the average egg production per family accumulated, a cluster analysis using Euclidean distance and single linkage method (nearest neighbors) was performed. The first two principal components meet the total variation in egg production accumulated from the 21st to 25th, 21st to 30th, 21st to 40th, 21st to 45th and 21st to 50th weeks of age. Most of the phenotypic variation of the layers can be explained by the production of eggs accumulated from the 21st until the 40th week of age, and this variable is highly correlated with total egg production. Families from the PRW and PRB breed form seven distinct groups, but homogeneous by the similarity between them. This allows direct crossings between different groups, in the pursuit for heterosis.
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Santos, Cleusa, Melissa Yaakoub, Luciano Rodrigues de Souza Coutinho, and Claudia March. "PAC:." SER Social 12, no. 26 (August 10, 2010): 116–46. http://dx.doi.org/10.26512/ser_social.v12i26.12710.

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O propósito deste trabalho é analisar o novo orçamento do PAC - Programa de Aceleração do Crescimento, apresentado pelo governo Lula para a infra-estrutura, e o PAC para a saúde, através de algumas análises acerca das características deste programa, sejam aquelas que aprofundam o modelo neoliberal sejam as que enfatizam o modelo desenvolvimentista.
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Coutaz, Joëlle. "PAC." ACM SIGCHI Bulletin 19, no. 2 (October 1987): 37–41. http://dx.doi.org/10.1145/36111.1045592.

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Dissertations / Theses on the topic "PAC"

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Zirakiza, Brice. "Forêts Aléatoires PAC-Bayésiennes." Thesis, Université Laval, 2013. http://www.theses.ulaval.ca/2013/29815/29815.pdf.

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Dans ce mémoire de maîtrise, nous présentons dans un premier temps un algorithme de l'état de l'art appelé Forêts aléatoires introduit par Léo Breiman. Cet algorithme effectue un vote de majorité uniforme d'arbres de décision construits en utilisant l'algorithme CART sans élagage. Par après, nous introduisons l'algorithme que nous avons nommé SORF. L'algorithme SORF s'inspire de l'approche PAC-Bayes, qui pour minimiser le risque du classificateur de Bayes, minimise le risque du classificateur de Gibbs avec un régularisateur. Le risque du classificateur de Gibbs constitue en effet, une fonction convexe bornant supérieurement le risque du classificateur de Bayes. Pour chercher la distribution qui pourrait être optimale, l'algorithme SORF se réduit à être un simple programme quadratique minimisant le risque quadratique de Gibbs pour chercher une distribution Q sur les classificateurs de base qui sont des arbres de la forêt. Les résultasts empiriques montrent que généralement SORF est presqu'aussi bien performant que les forêts aléatoires, et que dans certains cas, il peut même mieux performer que les forêts aléatoires.
In this master's thesis, we present at first an algorithm of the state of the art called Random Forests introduced by Léo Breiman. This algorithm construct a uniformly weighted majority vote of decision trees built using the CART algorithm without pruning. Thereafter, we introduce an algorithm that we called SORF. The SORF algorithm is based on the PAC-Bayes approach, which in order to minimize the risk of Bayes classifier, minimizes the risk of the Gibbs classifier with a regularizer. The risk of Gibbs classifier is indeed a convex function which is an upper bound of the risk of Bayes classifier. To find the distribution that would be optimal, the SORF algorithm is reduced to being a simple quadratic program minimizing the quadratic risk of Gibbs classifier to seek a distribution Q of base classifiers which are trees of the forest. Empirical results show that generally SORF is almost as efficient as Random forests, and in some cases, it can even outperform Random forests.
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Goldberg, Paul W. "PAC-learning geometrical figures." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/10918.

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The thesis studies the following problem: given a set of geometrical figures (such as planar polygons), each one labelled according to whether or not it resembles some 'ideal' figure, find a good approximation to that ideal figure which can be used to classify other figures in the same way. We work within the PAC learning model introduced by Valiant in 1984. Informally, the concepts under consideration are sets of polygons which resemble each other visually. A learning algorithm is given collections of members and non-members of a concept, and its task is to infer a criterion for membership which is consistent with the given examples and which can be used as an accurate classifier of further example polygons. In order to formalise the notion of a concept, we use metrics which measure the extent to which two polygons differ. A concept is assumed to be the set of polygons which are within some distance of some fixed central polygon. In the thesis we work most extensively with the Hausdorff metric. Using the Hausdorff metric we obtain NP-completeness results for several variants of the learning problem. In particular we show that it is hard to find a single geometrical figure which is close to the positive examples but not to the negative examples. This result holds under various assumptions about the specific geometrical figures under consideration. It also holds for several metrics other than the Hausdorff metric. Despite the NP-completeness results mentioned above we have found some encouraging positive results. In particular, we have discovered a general technique for prediction. (Prediction is a less demanding learning model than PAC learning. The goal is to find a polynomial-time algorithm which takes as input a sample of labelled examples and is then able to predict the status of further unlabelled examples in polynomial time).
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Zirakiza, Brice, and Brice Zirakiza. "Forêts Aléatoires PAC-Bayésiennes." Master's thesis, Université Laval, 2013. http://hdl.handle.net/20.500.11794/24036.

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Dans ce mémoire de maîtrise, nous présentons dans un premier temps un algorithme de l'état de l'art appelé Forêts aléatoires introduit par Léo Breiman. Cet algorithme effectue un vote de majorité uniforme d'arbres de décision construits en utilisant l'algorithme CART sans élagage. Par après, nous introduisons l'algorithme que nous avons nommé SORF. L'algorithme SORF s'inspire de l'approche PAC-Bayes, qui pour minimiser le risque du classificateur de Bayes, minimise le risque du classificateur de Gibbs avec un régularisateur. Le risque du classificateur de Gibbs constitue en effet, une fonction convexe bornant supérieurement le risque du classificateur de Bayes. Pour chercher la distribution qui pourrait être optimale, l'algorithme SORF se réduit à être un simple programme quadratique minimisant le risque quadratique de Gibbs pour chercher une distribution Q sur les classificateurs de base qui sont des arbres de la forêt. Les résultasts empiriques montrent que généralement SORF est presqu'aussi bien performant que les forêts aléatoires, et que dans certains cas, il peut même mieux performer que les forêts aléatoires.
Dans ce mémoire de maîtrise, nous présentons dans un premier temps un algorithme de l'état de l'art appelé Forêts aléatoires introduit par Léo Breiman. Cet algorithme effectue un vote de majorité uniforme d'arbres de décision construits en utilisant l'algorithme CART sans élagage. Par après, nous introduisons l'algorithme que nous avons nommé SORF. L'algorithme SORF s'inspire de l'approche PAC-Bayes, qui pour minimiser le risque du classificateur de Bayes, minimise le risque du classificateur de Gibbs avec un régularisateur. Le risque du classificateur de Gibbs constitue en effet, une fonction convexe bornant supérieurement le risque du classificateur de Bayes. Pour chercher la distribution qui pourrait être optimale, l'algorithme SORF se réduit à être un simple programme quadratique minimisant le risque quadratique de Gibbs pour chercher une distribution Q sur les classificateurs de base qui sont des arbres de la forêt. Les résultasts empiriques montrent que généralement SORF est presqu'aussi bien performant que les forêts aléatoires, et que dans certains cas, il peut même mieux performer que les forêts aléatoires.
In this master's thesis, we present at first an algorithm of the state of the art called Random Forests introduced by Léo Breiman. This algorithm construct a uniformly weighted majority vote of decision trees built using the CART algorithm without pruning. Thereafter, we introduce an algorithm that we called SORF. The SORF algorithm is based on the PAC-Bayes approach, which in order to minimize the risk of Bayes classifier, minimizes the risk of the Gibbs classifier with a regularizer. The risk of Gibbs classifier is indeed a convex function which is an upper bound of the risk of Bayes classifier. To find the distribution that would be optimal, the SORF algorithm is reduced to being a simple quadratic program minimizing the quadratic risk of Gibbs classifier to seek a distribution Q of base classifiers which are trees of the forest. Empirical results show that generally SORF is almost as efficient as Random forests, and in some cases, it can even outperform Random forests.
In this master's thesis, we present at first an algorithm of the state of the art called Random Forests introduced by Léo Breiman. This algorithm construct a uniformly weighted majority vote of decision trees built using the CART algorithm without pruning. Thereafter, we introduce an algorithm that we called SORF. The SORF algorithm is based on the PAC-Bayes approach, which in order to minimize the risk of Bayes classifier, minimizes the risk of the Gibbs classifier with a regularizer. The risk of Gibbs classifier is indeed a convex function which is an upper bound of the risk of Bayes classifier. To find the distribution that would be optimal, the SORF algorithm is reduced to being a simple quadratic program minimizing the quadratic risk of Gibbs classifier to seek a distribution Q of base classifiers which are trees of the forest. Empirical results show that generally SORF is almost as efficient as Random forests, and in some cases, it can even outperform Random forests.
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Röder, Jens, and Klaus-Dieter Becker. "PAC spectroscopy and diffusion effects." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-188193.

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5

Echeverría, Oyarzún Felipe. "Renovación urbana plan seccional PAC." Tesis, Universidad de Chile, 2016. http://repositorio.uchile.cl/handle/2250/140043.

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Memoria para optar al título de Arquitecto
A través de la Historia, Chile ha sufrido cambios enormes en su concepción paradigmática en torno a la creación urbana, adoptando muchas posturas en pro del beneficio común. Sin embargo, así como ha habido etapas favorables y enriquecedoras, hubo otras de crisis y caos, repercutiendo directamente en la realidad actual de la Nación. En la constante búsqueda de mecanismos para paliar el déficit habitacional y nivelar el alto índice de segregación existente, han surgido una infinidad de medidas fuertemente ligadas al imaginario de la época, decantando en diversas realidades tanto positivas como negativas. En el proceso de instauración urbana contemporánea y, en términos de vivienda social, vemos que el paradigma imperante tensiona a la utilización de predios periféricos por los bajos costos de éstos; sin embargo ¿Qué sucede con aquellas comunas de carácter central que se encuentran en situación de riesgo y necesitan intervención por parte del Estado? En este contexto y, a modo de proyecto de titulación, se esgrime el concepto de Renovación Urbana, como herramienta de mejora de barrios, en este caso particular un polígono de la comuna de Pedro Aguirre Cerda. Así, se busca comprender la interrelación de factores que determinarían favorablemente la concepción de vivienda, como punto de partida para la implementación en la creación futura de Vivienda Social de calidad.
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Röder, Jens, and Klaus-Dieter Becker. "PAC spectroscopy and diffusion effects." Diffusion fundamentals 12 (2010) 92, 2010. https://ul.qucosa.de/id/qucosa%3A13910.

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Samohvalov, Veaceslav. "PAC investigations of ferromagnetic spinel semiconductors." Doctoral thesis, [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=968962777.

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Samohvalov, Veaceslav. "PAC investigations of ferromagnetic spinel semiconductors." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek &quot;Georgius Agricola&quot, 2009. http://nbn-resolving.de/urn:nbn:de:swb:105-4827279.

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The ternary spinel-type compounds CdCr2Se4, CdCr2S4, HgCr2Se4, and CuCr2Se4 with Cr as transition metal form a special group of ferromagnetic semiconductors with Curie temperatures up to 430 K. They have particular perspectives in spintronics due to the coexistence of semiconducting and ferromagnetic properties. In this work the ferromagnetic semiconductors were investigated by the hyperfine interactions of implanted nuclear probes using the PAC (perturbed angular correlations) spectroscopy. In such compounds both magnetic hyperfine fields (Bhf) and electric field gradients (efg) allow a detailed study of the behavior of probes, which can additionally represent essential doping atoms in these substances. Besides the popular 111In(111Cd), also 111mCd, 111Ag(111Cd), 77Br(77Se), 117Cd(117In), 199mHg, and 100Pd(100Rh) probes were used exploiting the unique possibilities at the ISOLDE on-line separator and implanter (CERN, Geneva, Switzerland). The main objective of these investigations was to examine the lattice site occupation and the behavior of the implanted probes. In addition, the experimental hyperfine fields were used as test quantities for modern ab initio calculations of the electronic and spin structure (WIEN97).
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9

Lacasse, Alexandre. "Bornes PAC-Bayes et algorithmes d'apprentissage." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/27635/27635.pdf.

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L’objet principale de cette thèse est l’étude théorique et la conception d’algorithmes d’apprentissage concevant des classificateurs par vote de majorité. En particulier, nous présentons un théorème PAC-Bayes s’appliquant pour borner, entre autres, la variance de la perte de Gibbs (en plus de son espérance). Nous déduisons de ce théorème une borne du risque du vote de majorité plus serrée que la fameuse borne basée sur le risque de Gibbs. Nous présentons également un théorème permettant de borner le risque associé à des fonctions de perte générale. À partir de ce théorème, nous concevons des algorithmes d’apprentissage construisant des classificateurs par vote de majorité pondérés par une distribution minimisant une borne sur les risques associés aux fonctions de perte linéaire, quadratique, exponentielle, ainsi qu’à la fonction de perte du classificateur de Gibbs à piges multiples. Certains de ces algorithmes se comparent favorablement avec AdaBoost.
The main purpose of this thesis is the theoretical study and the design of learning algorithms returning majority-vote classifiers. In particular, we present a PAC-Bayes theorem allowing us to bound the variance of the Gibbs’ loss (not only its expectation). We deduce from this theorem a bound on the risk of a majority vote tighter than the famous bound based on the Gibbs’ risk. We also present a theorem that allows to bound the risk associated with general loss functions. From this theorem, we design learning algorithms building weighted majority vote classifiers minimizing a bound on the risk associated with the following loss functions : linear, quadratic and exponential. Also, we present algorithms based on the randomized majority vote. Some of these algorithms compare favorably with AdaBoost.
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Audibert, Jean-Yves. "PAC-Bayesian aggregation and multi-armed bandits." Habilitation à diriger des recherches, Université Paris-Est, 2010. http://tel.archives-ouvertes.fr/tel-00843972.

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This habilitation thesis presents several contributions to (1) the PAC-Bayesian analysis of statistical learning, (2) the three aggregation problems: given d functions, how to predict as well as (i) the best of these d functions (model selection type aggregation), (ii) the best convex combination of these d functions, (iii) the best linear combination of these d functions, (3) the multi-armed bandit problems.
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Books on the topic "PAC"

1

Palicia, Deborah. Pac-man Collectibles. Atglen, Pennsylvania: Schiffer Publishing Ltd., 2002.

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Dalrymple, Jennifer. Péric et Pac. Paris: l'ecole des loisirs, 1996.

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Akaiḍamī, Balūcistān, ed. Darīgae pac bīt. Kīc: Balūcistān Akaiḍamī, 2009.

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Judy, Braus, and National Wildlife Federation, eds. Incredible insects discovery pac. Washington, D.C: National Wildlife Federation, 1988.

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Fundação Instituto Brasileiro de Geografia e Estatística. Departamento de Comércio e Serviços., ed. Pesquisa anual de comércio--PAC. Rio de Janeiro: IBGE, 1991.

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Kennerdell, Peter B. Managing the business-employee PAC. Washington, D.C. (1019 Nineteenth St., N.W., Suite 200, Washington 20036): Public Affairs Council, 1992.

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Assembly, Wales National, ed. Cymorthdaliadau'r PAC =: CAP subsidy payments. Cardiff: Cynulliad Cenedlaethol Cymru, 2003.

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Pac-Man. ABDO Publishing Company, 2021.

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Dowling, Conor M. Super PAC! Routledge, 2014. http://dx.doi.org/10.4324/9780203509074.

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Schmidt, Scott. West Pac. Start Publishing LLC, 2009.

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Book chapters on the topic "PAC"

1

Gooch, Jan W. "PAC." In Encyclopedic Dictionary of Polymers, 515. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_8353.

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Ratsaby, Joel. "PAC Learning." In Encyclopedia of Algorithms, 1497–500. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_276.

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Ratsaby, Joel. "PAC Learning." In Encyclopedia of Algorithms, 1–4. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-3-642-27848-8_276-2.

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Ratsaby, Joel. "PAC Learning." In Encyclopedia of Algorithms, 622–24. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-30162-4_276.

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Najarian, Kayvan, and Simina Vasilache. "PAC Learning." In Encyclopedia of the Sciences of Learning, 2545–46. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_281.

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Zeugmann, Thomas, Pascal Poupart, James Kennedy, Xin Jin, Jiawei Han, Lorenza Saitta, Michele Sebag, et al. "PAC Learning." In Encyclopedia of Machine Learning, 745–53. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_625.

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Zeugmann, Thomas, Pascal Poupart, James Kennedy, Xin Jin, Jiawei Han, Lorenza Saitta, Michele Sebag, et al. "PAC Identification." In Encyclopedia of Machine Learning, 745. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_889.

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Zeugmann, Thomas. "PAC Learning." In Encyclopedia of Machine Learning and Data Mining, 1–11. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7502-7_631-1.

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Zeugmann, Thomas. "PAC Learning." In Encyclopedia of Machine Learning and Data Mining, 949–59. Boston, MA: Springer US, 2017. http://dx.doi.org/10.1007/978-1-4899-7687-1_631.

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McAllester, David, and Takintayo Akinbiyi. "PAC-Bayesian Theory." In Empirical Inference, 95–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41136-6_10.

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Conference papers on the topic "PAC"

1

Sato, Toshiki, Haruko Mamiya, Kentaro Fukuchi, and Hideki Koike. "PAC-PAC." In the ACM International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1731903.1731949.

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Fukuchi, Kentaro, Toshiki Sato, Haruko Mamiya, and Hideki Koike. "Pac-pac." In the International Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1842993.1843040.

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Fanni, Filippo Andrea, Angelo Mereu, Martina Senis, Alessandro Tola, Lucio Davide Spano, Fabio Murru, Marco Romoli, Ivan Blečić, and Giuseppe Andrea Trunfio. "PAC-PAC." In IUI '19: 24th International Conference on Intelligent User Interfaces. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3308557.3308710.

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Roch-Siebert, Françoise, and Gilles Villard. "PAC." In the 1991 international symposium. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/120694.120748.

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Rashid, Omer, Will Bamford, Paul Coulton, and Reuben Edwards. "PAC-LAN." In the 2006 ACM SIGCHI international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1178823.1178864.

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Shi, Feng, and Yiorgos Makris. "SPIN-PAC." In the 2005 conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1120725.1120746.

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Hajny, Jan, Petr Dzurenda, and Lukas Malina. "Privacy-PAC." In CCS'14: 2014 ACM SIGSAC Conference on Computer and Communications Security. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2665943.2665969.

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Noureddine, Lamine, Annelie Heuser, Cassius Puodzius, and Olivier Zendra. "SE-PAC." In CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3422337.3447848.

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Thirumurugan, S., and E. George Dharma Prakash Raj. "W-PAC." In the Second International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2393216.2393247.

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Li, Shuo, Xiayan Ji, Edgar Dobriban, Oleg Sokolsky, and Insup Lee. "PAC-Wrap." In KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3534678.3539408.

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Reports on the topic "PAC"

1

Icenhour, A. S. Sphere-Pac Evaluation for Transmutation. Office of Scientific and Technical Information (OSTI), May 2005. http://dx.doi.org/10.2172/885954.

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2

Gardner, J. A., Ruiping Wang, R. Schwenker, W. E. Evenson, R. L. Rasera, and J. A. Sommers. PAC spectroscopy of electronic ceramics. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/10147074.

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Gardner, J. A., Ruiping Wang, R. Schwenker, W. E. Evenson, R. L. Rasera, and J. A. Sommers. PAC spectroscopy of electronic ceramics. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/5236444.

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Jaques, Al. Trip Report: RAM-PAC International. Office of Scientific and Technical Information (OSTI), September 1988. http://dx.doi.org/10.2172/1031163.

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Del Cul, G. D. Fuel Fabrication for Surrogate Sphere-Pac Rodlet. Office of Scientific and Technical Information (OSTI), July 2005. http://dx.doi.org/10.2172/885986.

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Malitsky, N., A. Reshetov, and G. Bourianoff. PAC++: Object-oriented platform for accelerator codes. Office of Scientific and Technical Information (OSTI), June 1994. http://dx.doi.org/10.2172/82449.

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de Jong, Pieter J. Preparation of PAC libraries. Final technical report. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/766040.

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Holmberg, C., and J. Uberti. Interactive Connectivity Establishment Patiently Awaiting Connectivity (ICE PAC). RFC Editor, January 2021. http://dx.doi.org/10.17487/rfc8863.

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Danesh, Mike H., and John R. Oxford. PAC-3 Missile 30-Year Life Cycle and Streamlining. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada370790.

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Castellano, Cosmo, Karen Solsky, John Ivory, and Jim Graham. Power Aware Signal Processing Environment (PASPE) for PAC/C. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada412245.

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