Artículos de revistas sobre el tema "Restricted Boltzmann Machine (RBM)"
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Côté, Marc-Alexandre y Hugo Larochelle. "An Infinite Restricted Boltzmann Machine". Neural Computation 28, n.º 7 (julio de 2016): 1265–88. http://dx.doi.org/10.1162/neco_a_00848.
Texto completoLi, Yu, Yuan Zhang y Yue Ji. "Privacy-Preserving Restricted Boltzmann Machine". Computational and Mathematical Methods in Medicine 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/138498.
Texto completoZhang, Jingshuai, Yuanxin Ouyang, Weizhu Xie, Wenge Rong y Zhang Xiong. "Context-aware restricted Boltzmann machine meets collaborative filtering". Online Information Review 44, n.º 2 (13 de noviembre de 2018): 455–76. http://dx.doi.org/10.1108/oir-02-2017-0069.
Texto completoWei, Jiangshu, Jiancheng Lv y Zhang Yi. "A New Sparse Restricted Boltzmann Machine". International Journal of Pattern Recognition and Artificial Intelligence 33, n.º 10 (septiembre de 2019): 1951004. http://dx.doi.org/10.1142/s0218001419510042.
Texto completoAoki, Ken-Ichi y Tamao Kobayashi. "Restricted Boltzmann machines for the long range Ising models". Modern Physics Letters B 30, n.º 34 (8 de diciembre de 2016): 1650401. http://dx.doi.org/10.1142/s0217984916504017.
Texto completoDewi, Christine, Rung-Ching Chen, Hendry y Hsiu-Te Hung. "Experiment Improvement of Restricted Boltzmann Machine Methods for Image Classification". Vietnam Journal of Computer Science 08, n.º 03 (19 de enero de 2021): 417–32. http://dx.doi.org/10.1142/s2196888821500184.
Texto completoWang, Qianglong, Xiaoguang Gao, Kaifang Wan, Fei Li y Zijian Hu. "A Novel Restricted Boltzmann Machine Training Algorithm with Fast Gibbs Sampling Policy". Mathematical Problems in Engineering 2020 (20 de marzo de 2020): 1–19. http://dx.doi.org/10.1155/2020/4206457.
Texto completoHoyle, David C. "Replica analysis of the lattice-gas restricted Boltzmann machine partition function". Journal of Statistical Mechanics: Theory and Experiment 2023, n.º 1 (1 de enero de 2023): 013301. http://dx.doi.org/10.1088/1742-5468/acaf83.
Texto completoRully Widiastutik, Lukman Zaman P. C. S. W y Joan Santoso. "Peringkasan Teks Ekstraktif pada Dokumen Tunggal Menggunakan Metode Restricted Boltzmann Machine". Journal of Intelligent System and Computation 1, n.º 2 (5 de diciembre de 2019): 58–64. http://dx.doi.org/10.52985/insyst.v1i2.84.
Texto completoBao, Lin, Xiaoyan Sun, Yang Chen, Guangyi Man y Hui Shao. "Restricted Boltzmann Machine-Assisted Estimation of Distribution Algorithm for Complex Problems". Complexity 2018 (1 de noviembre de 2018): 1–13. http://dx.doi.org/10.1155/2018/2609014.
Texto completoGu, Jing y Kai Zhang. "Thermodynamics of the Ising Model Encoded in Restricted Boltzmann Machines". Entropy 24, n.º 12 (22 de noviembre de 2022): 1701. http://dx.doi.org/10.3390/e24121701.
Texto completoSong, Haifeng, Guangsheng Chen y Weiwei Yang. "An Image Classification Algorithm and its Parallel Implementation Based on ANL-RBM". Journal of Information Technology Research 11, n.º 3 (julio de 2018): 29–46. http://dx.doi.org/10.4018/jitr.2018070103.
Texto completoLiu, Junhui, Yajuan Jia, Yaya Wang y Petr Dolezel. "Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network". Journal of Advanced Transportation 2020 (29 de septiembre de 2020): 1–11. http://dx.doi.org/10.1155/2020/8859891.
Texto completoPrima, Indiko y Defri Ahmad. "ANALISIS CONDITIONAL RESTRICTED BOLTZMAN MACHINE UNTUK MEMPREDIKSI HARGA SAHAM BANK SYARIAH INDONESIA". Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika 4, n.º 1 (30 de abril de 2023): 409–16. http://dx.doi.org/10.46306/lb.v4i1.266.
Texto completoHe, Xiao-hui, Dong Wang, Yan-feng Li y Chun-hua Zhou. "A Novel Bearing Fault Diagnosis Method Based on Gaussian Restricted Boltzmann Machine". Mathematical Problems in Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/2957083.
Texto completoAssis, Carlos A. S., Eduardo J. Machado, Adriano C. M. Pereira y Eduardo G. Carrano. "Hybrid deep learning approach for financial time series classification". Revista Brasileira de Computação Aplicada 10, n.º 2 (17 de julio de 2018): 54–63. http://dx.doi.org/10.5335/rbca.v10i2.7904.
Texto completoWahid, Fazli, Sania Azhar, Sikandar Ali, Muhammad Sultan Zia, Faisal Abdulaziz Almisned y Abdu Gumaei. "Pneumonia Detection in Chest X-Ray Images Using Enhanced Restricted Boltzmann Machine". Journal of Healthcare Engineering 2022 (12 de agosto de 2022): 1–17. http://dx.doi.org/10.1155/2022/1678000.
Texto completoJiang, Yun, Junyu Zhuo, Juan Zhang y Xiao Xiao. "The optimization of parallel convolutional RBM based on Spark". International Journal of Wavelets, Multiresolution and Information Processing 17, n.º 02 (marzo de 2019): 1940011. http://dx.doi.org/10.1142/s0219691319400113.
Texto completoWu, Jue, Lei Yang, Fujun Yang, Peihong Zhang y Keqiang Bai. "Hybrid recommendation algorithm based on real-valued RBM and CNN". Mathematical Biosciences and Engineering 19, n.º 10 (2022): 10673–86. http://dx.doi.org/10.3934/mbe.2022499.
Texto completoLarochelle, Hugo, Yoshua Bengio y Joseph Turian. "Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest". Neural Computation 22, n.º 9 (septiembre de 2010): 2285–307. http://dx.doi.org/10.1162/neco_a_00014.
Texto completoYao, Yunkai. "Quantum computation of Restricted Boltzmann Machines by Monte Carlo Methods". Highlights in Science, Engineering and Technology 9 (30 de septiembre de 2022): 227–32. http://dx.doi.org/10.54097/hset.v9i.1780.
Texto completoPratama, Yohanssen, Riyanthi Angrainy Sianturi, Dedi Chandra, Kristopel Lumbantoruan y Indah Trivena Tampubolon. "Restricted Boltzmann Machine and Matrix Factorization-Alternating Square Algorithm for Development Tourist Recommendation System". Journal of Physics: Conference Series 2394, n.º 1 (1 de diciembre de 2022): 012004. http://dx.doi.org/10.1088/1742-6596/2394/1/012004.
Texto completoRastgoo, Razieh, Kourosh Kiani y Sergio Escalera. "Multi-Modal Deep Hand Sign Language Recognition in Still Images Using Restricted Boltzmann Machine". Entropy 20, n.º 11 (23 de octubre de 2018): 809. http://dx.doi.org/10.3390/e20110809.
Texto completoKhan, Umair, Pooyan Safari y Javier Hernando. "Restricted Boltzmann Machine Vectors for Speaker Clustering and Tracking Tasks in TV Broadcast Shows". Applied Sciences 9, n.º 13 (9 de julio de 2019): 2761. http://dx.doi.org/10.3390/app9132761.
Texto completoNastiti, Vinna Rahmayanti Setyaning, Zamah Sari y Bella Chintia Eka Merita. "The Implementation of Restricted Boltzmann Machine in Choosing a Specialization for Informatics Students". Jurnal Online Informatika 8, n.º 1 (28 de junio de 2023): 36–43. http://dx.doi.org/10.15575/join.v8i1.917.
Texto completoLe Roux, Nicolas y Yoshua Bengio. "Representational Power of Restricted Boltzmann Machines and Deep Belief Networks". Neural Computation 20, n.º 6 (junio de 2008): 1631–49. http://dx.doi.org/10.1162/neco.2008.04-07-510.
Texto completoSavitha, Ramasamy, ArulMurugan Ambikapathi y Kanagasabai Rajaraman. "Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation". Applied Soft Computing 92 (julio de 2020): 106278. http://dx.doi.org/10.1016/j.asoc.2020.106278.
Texto completoCheng, Song, Jing Chen y Lei Wang. "Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines". Entropy 20, n.º 8 (7 de agosto de 2018): 583. http://dx.doi.org/10.3390/e20080583.
Texto completoDixit, Vivek, Yaroslav Koshka, Tamer Aldwairi y M. A. Novotny. "Comparison of quantum and classical methods for labels and patterns in Restricted Boltzmann Machines". Journal of Physics: Conference Series 2122, n.º 1 (1 de noviembre de 2021): 012007. http://dx.doi.org/10.1088/1742-6596/2122/1/012007.
Texto completoBulso, Nicola y Yasser Roudi. "Restricted Boltzmann Machines as Models of Interacting Variables". Neural Computation 33, n.º 10 (16 de septiembre de 2021): 2646–81. http://dx.doi.org/10.1162/neco_a_01420.
Texto completoCrawford, Daniel, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi y Pooya Ronagh. "Reinforcement learning using quantum Boltzmann machines". Quantum Information and Computation 18, n.º 1&2 (febrero de 2018): 51–74. http://dx.doi.org/10.26421/qic18.1-2-3.
Texto completoQu, Jia, Zihao Song, Xiaolong Cheng, Zhibin Jiang y Jie Zhou. "Neighborhood-based inference and restricted Boltzmann machine for small molecule-miRNA associations prediction". PeerJ 11 (24 de agosto de 2023): e15889. http://dx.doi.org/10.7717/peerj.15889.
Texto completoNoormandipour, Mohammadreza, Sun Youran y Babak Haghighat. "Restricted Boltzmann machine representation for the groundstate and excited states of Kitaev Honeycomb model". Machine Learning: Science and Technology 3, n.º 1 (10 de diciembre de 2021): 015010. http://dx.doi.org/10.1088/2632-2153/ac3ddf.
Texto completoBader Alazzam, Malik, Fawaz Alassery y Ahmed Almulihi. "Identification of Diabetic Retinopathy through Machine Learning". Mobile Information Systems 2021 (26 de noviembre de 2021): 1–8. http://dx.doi.org/10.1155/2021/1155116.
Texto completoTubiana, Jérôme, Simona Cocco y Rémi Monasson. "Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins". Neural Computation 31, n.º 8 (agosto de 2019): 1671–717. http://dx.doi.org/10.1162/neco_a_01210.
Texto completoKoshka, Yaroslav, Dilina Perera, Spencer Hall y M. A. Novotny. "Determination of the Lowest-Energy States for the Model Distribution of Trained Restricted Boltzmann Machines Using a 1000 Qubit D-Wave 2X Quantum Computer". Neural Computation 29, n.º 7 (julio de 2017): 1815–37. http://dx.doi.org/10.1162/neco_a_00974.
Texto completoCheng, Xiaolong, Jia Qu, Shuangbao Song y Zekang Bian. "Neighborhood-based inference and restricted Boltzmann machine for microbe and drug associations prediction". PeerJ 10 (15 de agosto de 2022): e13848. http://dx.doi.org/10.7717/peerj.13848.
Texto completoSiddula, Sundeep, G. K. Prashanth, Praful Nandankar, Ram Subbiah, Saikh Mohammad Wabaidur, Essam A. Al-Ammar, M. H. Siddique y Subash Thanappan. "Optimal Placement of Hybrid Wind-Solar System Using Deep Learning Model". International Journal of Photoenergy 2022 (25 de mayo de 2022): 1–7. http://dx.doi.org/10.1155/2022/2881603.
Texto completoGuo, Xian, Zhang, Li y Ren. "Hybrid IRBM-BPNN Approach for Error Parameter Estimation of SINS on Aircraft". Sensors 19, n.º 17 (24 de agosto de 2019): 3682. http://dx.doi.org/10.3390/s19173682.
Texto completoBehera, Dayal Kumar, Madhabananda Das, Subhra Swetanisha y Prabira Kumar Sethy. "Hybrid model for movie recommendation system using content K-nearest neighbors and restricted Boltzmann machine". Indonesian Journal of Electrical Engineering and Computer Science 23, n.º 1 (1 de julio de 2021): 445. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp445-452.
Texto completoCho, KyungHyun, Tapani Raiko y Alexander Ilin. "Enhanced Gradient for Training Restricted Boltzmann Machines". Neural Computation 25, n.º 3 (marzo de 2013): 805–31. http://dx.doi.org/10.1162/neco_a_00397.
Texto completoWu, Yangjun, Xiansong Xu, Dario Poletti, Yi Fan, Chu Guo y Honghui Shang. "A Real Neural Network State for Quantum Chemistry". Mathematics 11, n.º 6 (15 de marzo de 2023): 1417. http://dx.doi.org/10.3390/math11061417.
Texto completoLiu, Qinghua, Lu Sun, Alain Kornhauser, Jiahui Sun y Nick Sangwa. "Road roughness acquisition and classification using improved restricted Boltzmann machine deep learning algorithm". Sensor Review 39, n.º 6 (18 de noviembre de 2019): 733–42. http://dx.doi.org/10.1108/sr-05-2018-0132.
Texto completoXu, Aoqi, Man-Wen Tian, Behnam Firouzi, Khalid A. Alattas, Ardashir Mohammadzadeh y Ebrahim Ghaderpour. "A New Deep Learning Restricted Boltzmann Machine for Energy Consumption Forecasting". Sustainability 14, n.º 16 (15 de agosto de 2022): 10081. http://dx.doi.org/10.3390/su141610081.
Texto completoRavikumaran, P., K. Vimala Devi y K. Valarmathi. "An Improved Kidney Tumor Prediction Using Deep Convolutional Neural Network-Restricted Boltzmann Machine Technique in Medical Image Segmentation". Journal of Medical Imaging and Health Informatics 11, n.º 12 (1 de diciembre de 2021): 3191–98. http://dx.doi.org/10.1166/jmihi.2021.3917.
Texto completoPrasanna, Kamepalli S. L. y Nagendra Panini Challa. "Hybrid MRK-Means + + RBM Model: An Efficient Heart Disease Predicting System Using ModifiedRoughK-Means + + Algorithm and Restricted Boltzmann Machine". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 31, Supp01 (mayo de 2023): 65–99. http://dx.doi.org/10.1142/s0218488523400056.
Texto completoWang, Xi-Li y Fen Chen. "Shape Modeling Based on Convolutional Restricted Boltzmann Machines". MATEC Web of Conferences 173 (2018): 01022. http://dx.doi.org/10.1051/matecconf/201817301022.
Texto completoWu, Xin-Jie, Ming-Da Xu, Chang-Di Li, Chong Ju, Qian Zhao y Shi-Xing Liu. "Research on image reconstruction algorithms based on autoencoder neural network of Restricted Boltzmann Machine (RBM)". Flow Measurement and Instrumentation 80 (agosto de 2021): 102009. http://dx.doi.org/10.1016/j.flowmeasinst.2021.102009.
Texto completoHuang, Jizhong y Yepeng Guan. "Dropout Deep Belief Network Based Chinese Ancient Ceramic Non-Destructive Identification". Sensors 21, n.º 4 (12 de febrero de 2021): 1318. http://dx.doi.org/10.3390/s21041318.
Texto completoRamineni, Vyshnavi y Goo-Rak Kwon. "Diagnosis of Alzheimer’s Disease using Wrapper Feature Selection Method". Korean Institute of Smart Media 12, n.º 3 (30 de abril de 2023): 30–37. http://dx.doi.org/10.30693/smj.2023.12.3.30.
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