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Data Perturbation for Escaping Local Maxima in Learning., , , and . AAAI/IAAI, page 132-139. AAAI Press / The MIT Press, (2002)Divergence based graph estimation for manifold learning., , and . GlobalSIP, page 447-450. IEEE, (2013)Combining Statistical Language Models via the Latent Maximum Entropy Principle., , , and . Mach. Learn., 60 (1-3): 229-250 (2005)Stochastic Neural Networks with Monotonic Activation Functions, , , , and . (2015)cite arxiv:1601.00034v2.pdfComment: AISTATS 2016.Strictly Lexicalised Dependency Parsing., , and . Trends in Parsing Technology, Springer, (2010)EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL., , and . CoRR, (2020)Linear Coherent Bi-Clustering via Beam Searching and Sample Set Clustering., , , , and . Discret. Math. Algorithms Appl., (2012)Learning Gene Regulatory Networks via Globally Regularized Risk Minimization., and . RECOMB-CG, volume 4751 of Lecture Notes in Computer Science, page 83-95. Springer, (2007)Variational Rejection Sampling., , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 823-832. PMLR, (2018)Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering, and . CoRR, (2012)