3 Adversarial Sequence Tagging Games
暂无分享,去创建一个
[1] Xizhao Wang,et al. International journal of machine learning and cybernetics , 2010, Int. J. Mach. Learn. Cybern..
[2] I. Couzin,et al. Shared decision-making drives collective movement in wild baboons , 2015, Science.
[3] E. Rowland. Theory of Games and Economic Behavior , 1946, Nature.
[4] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[5] Andrew J. Viterbi,et al. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm , 1967, IEEE Trans. Inf. Theory.
[6] Michael I. Jordan,et al. A Robust Minimax Approach to Classification , 2003, J. Mach. Learn. Res..
[7] Hong Wang,et al. Adversarial Prediction Games for Multivariate Losses , 2015, NIPS.
[8] Thomas Lukasiewicz. MAXIMUM ENTROPY , 2000 .
[9] J. Meigs,et al. WHO Technical Report , 1954, The Yale Journal of Biology and Medicine.
[10] Flemming Topsøe,et al. Information-theoretical optimization techniques , 1979, Kybernetika.
[11] Michael I. Jordan,et al. Advances in Neural Information Processing Systems 30 , 1995 .
[12] Brian D. Ziebart,et al. Robust Classification Under Sample Selection Bias , 2014, NIPS.
[13] Christian Laugier,et al. The International Journal of Robotics Research (IJRR) - Special issue on ``Field and Service Robotics '' , 2009 .
[14] Fernando Pereira,et al. Shallow Parsing with Conditional Random Fields , 2003, NAACL.
[15] M. Panella. Associate Editor of the Journal of Computer and System Sciences , 2014 .
[16] A. Dawid,et al. Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory , 2004, math/0410076.
[17] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[18] L. Christophorou. Science , 2018, Emerging Dynamics: Science, Energy, Society and Values.
[19] Andrew McCallum,et al. Maximum Entropy Markov Models for Information Extraction and Segmentation , 2000, ICML.
[20] Davide Anguita,et al. Transition-Aware Human Activity Recognition Using Smartphones , 2016, Neurocomputing.
[21] Brian D. Ziebart,et al. Adversarial Cost-Sensitive Classification , 2015, UAI.
[22] Avrim Blum,et al. Planning in the Presence of Cost Functions Controlled by an Adversary , 2003, ICML.
[23] Fabio Roli,et al. Multiple classifier systems for robust classifier design in adversarial environments , 2010, Int. J. Mach. Learn. Cybern..
[24] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[25] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[26] Hans Ulrich Simon,et al. Robust Trainability of Single Neurons , 1995, J. Comput. Syst. Sci..