Статті в журналах з теми "Restricted Boltzmann Machine (RBM)"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Restricted Boltzmann Machine (RBM)".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
Côté, Marc-Alexandre, and Hugo Larochelle. "An Infinite Restricted Boltzmann Machine." Neural Computation 28, no. 7 (July 2016): 1265–88. http://dx.doi.org/10.1162/neco_a_00848.
Повний текст джерелаLi, Yu, Yuan Zhang, and 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.
Повний текст джерелаZhang, Jingshuai, Yuanxin Ouyang, Weizhu Xie, Wenge Rong, and Zhang Xiong. "Context-aware restricted Boltzmann machine meets collaborative filtering." Online Information Review 44, no. 2 (November 13, 2018): 455–76. http://dx.doi.org/10.1108/oir-02-2017-0069.
Повний текст джерелаWei, Jiangshu, Jiancheng Lv, and Zhang Yi. "A New Sparse Restricted Boltzmann Machine." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 10 (September 2019): 1951004. http://dx.doi.org/10.1142/s0218001419510042.
Повний текст джерелаAoki, Ken-Ichi, and Tamao Kobayashi. "Restricted Boltzmann machines for the long range Ising models." Modern Physics Letters B 30, no. 34 (December 8, 2016): 1650401. http://dx.doi.org/10.1142/s0217984916504017.
Повний текст джерелаDewi, Christine, Rung-Ching Chen, Hendry, and Hsiu-Te Hung. "Experiment Improvement of Restricted Boltzmann Machine Methods for Image Classification." Vietnam Journal of Computer Science 08, no. 03 (January 19, 2021): 417–32. http://dx.doi.org/10.1142/s2196888821500184.
Повний текст джерелаWang, Qianglong, Xiaoguang Gao, Kaifang Wan, Fei Li, and Zijian Hu. "A Novel Restricted Boltzmann Machine Training Algorithm with Fast Gibbs Sampling Policy." Mathematical Problems in Engineering 2020 (March 20, 2020): 1–19. http://dx.doi.org/10.1155/2020/4206457.
Повний текст джерелаHoyle, David C. "Replica analysis of the lattice-gas restricted Boltzmann machine partition function." Journal of Statistical Mechanics: Theory and Experiment 2023, no. 1 (January 1, 2023): 013301. http://dx.doi.org/10.1088/1742-5468/acaf83.
Повний текст джерелаRully Widiastutik, Lukman Zaman P. C. S. W, and Joan Santoso. "Peringkasan Teks Ekstraktif pada Dokumen Tunggal Menggunakan Metode Restricted Boltzmann Machine." Journal of Intelligent System and Computation 1, no. 2 (December 5, 2019): 58–64. http://dx.doi.org/10.52985/insyst.v1i2.84.
Повний текст джерелаBao, Lin, Xiaoyan Sun, Yang Chen, Guangyi Man, and Hui Shao. "Restricted Boltzmann Machine-Assisted Estimation of Distribution Algorithm for Complex Problems." Complexity 2018 (November 1, 2018): 1–13. http://dx.doi.org/10.1155/2018/2609014.
Повний текст джерелаGu, Jing, and Kai Zhang. "Thermodynamics of the Ising Model Encoded in Restricted Boltzmann Machines." Entropy 24, no. 12 (November 22, 2022): 1701. http://dx.doi.org/10.3390/e24121701.
Повний текст джерелаSong, Haifeng, Guangsheng Chen, and Weiwei Yang. "An Image Classification Algorithm and its Parallel Implementation Based on ANL-RBM." Journal of Information Technology Research 11, no. 3 (July 2018): 29–46. http://dx.doi.org/10.4018/jitr.2018070103.
Повний текст джерелаLiu, Junhui, Yajuan Jia, Yaya Wang, and Petr Dolezel. "Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network." Journal of Advanced Transportation 2020 (September 29, 2020): 1–11. http://dx.doi.org/10.1155/2020/8859891.
Повний текст джерелаPrima, Indiko, and Defri Ahmad. "ANALISIS CONDITIONAL RESTRICTED BOLTZMAN MACHINE UNTUK MEMPREDIKSI HARGA SAHAM BANK SYARIAH INDONESIA." Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika 4, no. 1 (April 30, 2023): 409–16. http://dx.doi.org/10.46306/lb.v4i1.266.
Повний текст джерелаHe, Xiao-hui, Dong Wang, Yan-feng Li, and 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.
Повний текст джерелаAssis, Carlos A. S., Eduardo J. Machado, Adriano C. M. Pereira, and Eduardo G. Carrano. "Hybrid deep learning approach for financial time series classification." Revista Brasileira de Computação Aplicada 10, no. 2 (July 17, 2018): 54–63. http://dx.doi.org/10.5335/rbca.v10i2.7904.
Повний текст джерелаWahid, Fazli, Sania Azhar, Sikandar Ali, Muhammad Sultan Zia, Faisal Abdulaziz Almisned, and Abdu Gumaei. "Pneumonia Detection in Chest X-Ray Images Using Enhanced Restricted Boltzmann Machine." Journal of Healthcare Engineering 2022 (August 12, 2022): 1–17. http://dx.doi.org/10.1155/2022/1678000.
Повний текст джерелаJiang, Yun, Junyu Zhuo, Juan Zhang, and Xiao Xiao. "The optimization of parallel convolutional RBM based on Spark." International Journal of Wavelets, Multiresolution and Information Processing 17, no. 02 (March 2019): 1940011. http://dx.doi.org/10.1142/s0219691319400113.
Повний текст джерелаWu, Jue, Lei Yang, Fujun Yang, Peihong Zhang, and Keqiang Bai. "Hybrid recommendation algorithm based on real-valued RBM and CNN." Mathematical Biosciences and Engineering 19, no. 10 (2022): 10673–86. http://dx.doi.org/10.3934/mbe.2022499.
Повний текст джерелаLarochelle, Hugo, Yoshua Bengio, and Joseph Turian. "Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest." Neural Computation 22, no. 9 (September 2010): 2285–307. http://dx.doi.org/10.1162/neco_a_00014.
Повний текст джерелаYao, Yunkai. "Quantum computation of Restricted Boltzmann Machines by Monte Carlo Methods." Highlights in Science, Engineering and Technology 9 (September 30, 2022): 227–32. http://dx.doi.org/10.54097/hset.v9i.1780.
Повний текст джерелаPratama, Yohanssen, Riyanthi Angrainy Sianturi, Dedi Chandra, Kristopel Lumbantoruan, and Indah Trivena Tampubolon. "Restricted Boltzmann Machine and Matrix Factorization-Alternating Square Algorithm for Development Tourist Recommendation System." Journal of Physics: Conference Series 2394, no. 1 (December 1, 2022): 012004. http://dx.doi.org/10.1088/1742-6596/2394/1/012004.
Повний текст джерелаRastgoo, Razieh, Kourosh Kiani, and Sergio Escalera. "Multi-Modal Deep Hand Sign Language Recognition in Still Images Using Restricted Boltzmann Machine." Entropy 20, no. 11 (October 23, 2018): 809. http://dx.doi.org/10.3390/e20110809.
Повний текст джерелаKhan, Umair, Pooyan Safari, and Javier Hernando. "Restricted Boltzmann Machine Vectors for Speaker Clustering and Tracking Tasks in TV Broadcast Shows." Applied Sciences 9, no. 13 (July 9, 2019): 2761. http://dx.doi.org/10.3390/app9132761.
Повний текст джерелаNastiti, Vinna Rahmayanti Setyaning, Zamah Sari, and Bella Chintia Eka Merita. "The Implementation of Restricted Boltzmann Machine in Choosing a Specialization for Informatics Students." Jurnal Online Informatika 8, no. 1 (June 28, 2023): 36–43. http://dx.doi.org/10.15575/join.v8i1.917.
Повний текст джерелаLe Roux, Nicolas, and Yoshua Bengio. "Representational Power of Restricted Boltzmann Machines and Deep Belief Networks." Neural Computation 20, no. 6 (June 2008): 1631–49. http://dx.doi.org/10.1162/neco.2008.04-07-510.
Повний текст джерелаSavitha, Ramasamy, ArulMurugan Ambikapathi, and Kanagasabai Rajaraman. "Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation." Applied Soft Computing 92 (July 2020): 106278. http://dx.doi.org/10.1016/j.asoc.2020.106278.
Повний текст джерелаCheng, Song, Jing Chen, and Lei Wang. "Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines." Entropy 20, no. 8 (August 7, 2018): 583. http://dx.doi.org/10.3390/e20080583.
Повний текст джерелаDixit, Vivek, Yaroslav Koshka, Tamer Aldwairi, and M. A. Novotny. "Comparison of quantum and classical methods for labels and patterns in Restricted Boltzmann Machines." Journal of Physics: Conference Series 2122, no. 1 (November 1, 2021): 012007. http://dx.doi.org/10.1088/1742-6596/2122/1/012007.
Повний текст джерелаBulso, Nicola, and Yasser Roudi. "Restricted Boltzmann Machines as Models of Interacting Variables." Neural Computation 33, no. 10 (September 16, 2021): 2646–81. http://dx.doi.org/10.1162/neco_a_01420.
Повний текст джерелаCrawford, Daniel, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi, and Pooya Ronagh. "Reinforcement learning using quantum Boltzmann machines." Quantum Information and Computation 18, no. 1&2 (February 2018): 51–74. http://dx.doi.org/10.26421/qic18.1-2-3.
Повний текст джерелаQu, Jia, Zihao Song, Xiaolong Cheng, Zhibin Jiang, and Jie Zhou. "Neighborhood-based inference and restricted Boltzmann machine for small molecule-miRNA associations prediction." PeerJ 11 (August 24, 2023): e15889. http://dx.doi.org/10.7717/peerj.15889.
Повний текст джерелаNoormandipour, Mohammadreza, Sun Youran, and Babak Haghighat. "Restricted Boltzmann machine representation for the groundstate and excited states of Kitaev Honeycomb model." Machine Learning: Science and Technology 3, no. 1 (December 10, 2021): 015010. http://dx.doi.org/10.1088/2632-2153/ac3ddf.
Повний текст джерелаBader Alazzam, Malik, Fawaz Alassery, and Ahmed Almulihi. "Identification of Diabetic Retinopathy through Machine Learning." Mobile Information Systems 2021 (November 26, 2021): 1–8. http://dx.doi.org/10.1155/2021/1155116.
Повний текст джерелаTubiana, Jérôme, Simona Cocco, and Rémi Monasson. "Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins." Neural Computation 31, no. 8 (August 2019): 1671–717. http://dx.doi.org/10.1162/neco_a_01210.
Повний текст джерелаKoshka, Yaroslav, Dilina Perera, Spencer Hall, and 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, no. 7 (July 2017): 1815–37. http://dx.doi.org/10.1162/neco_a_00974.
Повний текст джерелаCheng, Xiaolong, Jia Qu, Shuangbao Song, and Zekang Bian. "Neighborhood-based inference and restricted Boltzmann machine for microbe and drug associations prediction." PeerJ 10 (August 15, 2022): e13848. http://dx.doi.org/10.7717/peerj.13848.
Повний текст джерелаSiddula, Sundeep, G. K. Prashanth, Praful Nandankar, Ram Subbiah, Saikh Mohammad Wabaidur, Essam A. Al-Ammar, M. H. Siddique, and Subash Thanappan. "Optimal Placement of Hybrid Wind-Solar System Using Deep Learning Model." International Journal of Photoenergy 2022 (May 25, 2022): 1–7. http://dx.doi.org/10.1155/2022/2881603.
Повний текст джерелаGuo, Xian, Zhang, Li, and Ren. "Hybrid IRBM-BPNN Approach for Error Parameter Estimation of SINS on Aircraft." Sensors 19, no. 17 (August 24, 2019): 3682. http://dx.doi.org/10.3390/s19173682.
Повний текст джерелаBehera, Dayal Kumar, Madhabananda Das, Subhra Swetanisha, and 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, no. 1 (July 1, 2021): 445. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp445-452.
Повний текст джерелаCho, KyungHyun, Tapani Raiko, and Alexander Ilin. "Enhanced Gradient for Training Restricted Boltzmann Machines." Neural Computation 25, no. 3 (March 2013): 805–31. http://dx.doi.org/10.1162/neco_a_00397.
Повний текст джерелаWu, Yangjun, Xiansong Xu, Dario Poletti, Yi Fan, Chu Guo, and Honghui Shang. "A Real Neural Network State for Quantum Chemistry." Mathematics 11, no. 6 (March 15, 2023): 1417. http://dx.doi.org/10.3390/math11061417.
Повний текст джерелаLiu, Qinghua, Lu Sun, Alain Kornhauser, Jiahui Sun, and Nick Sangwa. "Road roughness acquisition and classification using improved restricted Boltzmann machine deep learning algorithm." Sensor Review 39, no. 6 (November 18, 2019): 733–42. http://dx.doi.org/10.1108/sr-05-2018-0132.
Повний текст джерелаXu, Aoqi, Man-Wen Tian, Behnam Firouzi, Khalid A. Alattas, Ardashir Mohammadzadeh, and Ebrahim Ghaderpour. "A New Deep Learning Restricted Boltzmann Machine for Energy Consumption Forecasting." Sustainability 14, no. 16 (August 15, 2022): 10081. http://dx.doi.org/10.3390/su141610081.
Повний текст джерелаRavikumaran, P., K. Vimala Devi, and 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, no. 12 (December 1, 2021): 3191–98. http://dx.doi.org/10.1166/jmihi.2021.3917.
Повний текст джерелаPrasanna, Kamepalli S. L., and 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 (May 2023): 65–99. http://dx.doi.org/10.1142/s0218488523400056.
Повний текст джерелаWang, Xi-Li, and 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.
Повний текст джерелаWu, Xin-Jie, Ming-Da Xu, Chang-Di Li, Chong Ju, Qian Zhao, and Shi-Xing Liu. "Research on image reconstruction algorithms based on autoencoder neural network of Restricted Boltzmann Machine (RBM)." Flow Measurement and Instrumentation 80 (August 2021): 102009. http://dx.doi.org/10.1016/j.flowmeasinst.2021.102009.
Повний текст джерелаHuang, Jizhong, and Yepeng Guan. "Dropout Deep Belief Network Based Chinese Ancient Ceramic Non-Destructive Identification." Sensors 21, no. 4 (February 12, 2021): 1318. http://dx.doi.org/10.3390/s21041318.
Повний текст джерелаRamineni, Vyshnavi, and Goo-Rak Kwon. "Diagnosis of Alzheimer’s Disease using Wrapper Feature Selection Method." Korean Institute of Smart Media 12, no. 3 (April 30, 2023): 30–37. http://dx.doi.org/10.30693/smj.2023.12.3.30.
Повний текст джерела