A Hessian-Free Optimization-Based Approach to Latent-Factor-Based QoS Predictors with High Accuracy
暂无分享,去创建一个
MengChu Zhou | Qingsheng Zhu | Yunni Xia | Xin Luo | Xin Luo | Mengchu Zhou | Yunni Xia | Qingsheng Zhu
[1] Fillia Makedon,et al. Learning from Incomplete Ratings Using Non-negative Matrix Factorization , 2006, SDM.
[2] Jorge Nocedal,et al. On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning , 2011, SIAM J. Optim..
[3] Barak A. Pearlmutter. Fast Exact Multiplication by the Hessian , 1994, Neural Computation.
[4] Yunni Xia,et al. Applying the learning rate adaptation to the matrix factorization based collaborative filtering , 2013, Knowl. Based Syst..
[5] Ruslan Salakhutdinov,et al. Probabilistic Matrix Factorization , 2007, NIPS.
[6] Qingsheng Zhu,et al. A parallel matrix factorization based recommender by alternating stochastic gradient decent , 2012, Eng. Appl. Artif. Intell..
[7] Zibin Zheng,et al. WSPred: A Time-Aware Personalized QoS Prediction Framework for Web Services , 2011, 2011 IEEE 22nd International Symposium on Software Reliability Engineering.
[8] Ionel M. Navon,et al. An Analysis of a Hybrid Optimization Method for Variational Data Assimilation , 2003 .
[9] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[10] James Martens,et al. Deep learning via Hessian-free optimization , 2010, ICML.
[11] Yuki Suga,et al. Multimodal integration learning of robot behavior using deep neural networks , 2014, Robotics Auton. Syst..
[12] Qingsheng Zhu,et al. Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization , 2012, Knowl. Based Syst..
[13] Dana H. Ballard,et al. Unified losses for multi-modal pose coding and regression , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[14] Zibin Zheng,et al. Distributed QoS Evaluation for Real-World Web Services , 2010, 2010 IEEE International Conference on Web Services.
[15] Jorge Nocedal,et al. Enriched Methods for Large-Scale Unconstrained Optimization , 2002, Comput. Optim. Appl..
[16] Zibin Zheng,et al. QoS-Aware Web Service Recommendation by Collaborative Filtering , 2011, IEEE Transactions on Services Computing.
[17] Zibin Zheng,et al. Exploring Latent Features for Memory-Based QoS Prediction in Cloud Computing , 2011, 2011 IEEE 30th International Symposium on Reliable Distributed Systems.
[18] Anne H. H. Ngu,et al. QoS-aware middleware for Web services composition , 2004, IEEE Transactions on Software Engineering.
[19] Hareton K. N. Leung,et al. A Highly Efficient Approach to Protein Interactome Mapping Based on Collaborative Filtering Framework , 2015, Scientific Reports.
[20] Ionel M. Navon,et al. A reduced‐order approach to four‐dimensional variational data assimilation using proper orthogonal decomposition , 2007 .
[21] Ilya Sutskever,et al. Training Deep and Recurrent Networks with Hessian-Free Optimization , 2012, Neural Networks: Tricks of the Trade.
[22] Jie Cao,et al. Hybrid Collaborative Filtering algorithm for bidirectional Web service recommendation , 2012, Knowledge and Information Systems.
[23] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.
[24] Zibin Zheng,et al. WSRec: A Collaborative Filtering Based Web Service Recommender System , 2009, 2009 IEEE International Conference on Web Services.
[25] Jorge Nocedal,et al. Automatic Preconditioning by Limited Memory Quasi-Newton Updating , 1999, SIAM J. Optim..
[26] Guy Shani,et al. Evaluating Recommendation Systems , 2011, Recommender Systems Handbook.
[27] Yehuda Koren,et al. Advances in Collaborative Filtering , 2011, Recommender Systems Handbook.
[28] Zibin Zheng,et al. Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization , 2013, IEEE Transactions on Services Computing.
[29] Bracha Shapira,et al. Recommender Systems Handbook , 2015, Springer US.
[30] Anne H. H. Ngu,et al. QoS computation and policing in dynamic web service selection , 2004, WWW Alt. '04.
[31] Quoc V. Le,et al. On optimization methods for deep learning , 2011, ICML.
[32] Jonathan L. Herlocker,et al. Evaluating collaborative filtering recommender systems , 2004, TOIS.
[33] Nicol N. Schraudolph. Fast Curvature Matrix-Vector Products , 2001, ICANN.
[34] MengChu Zhou,et al. Predicting web service QoS via matrix-factorization-based collaborative filtering under non-negativity constraint , 2014, 2014 23rd Wireless and Optical Communication Conference (WOCC).
[35] Andrew W. Fitzgibbon,et al. Damped Newton algorithms for matrix factorization with missing data , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[36] Pei Chen,et al. Hessian Matrix vs. Gauss-Newton Hessian Matrix , 2011, SIAM J. Numer. Anal..
[37] Junfeng Zhao,et al. Personalized QoS Prediction forWeb Services via Collaborative Filtering , 2007, IEEE International Conference on Web Services (ICWS 2007).
[38] MengChu Zhou,et al. An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems , 2014, IEEE Transactions on Industrial Informatics.
[39] Zhaohui Wu,et al. Collaborative Web Service QoS Prediction with Location-Based Regularization , 2012, 2012 IEEE 19th International Conference on Web Services.