Papers
23,522 papers found
A Dirty Model for Multi-task Learning
Ali Jalali, Sujay Sanghavi, Chao Ruan et al.
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates
Ken Takiyama, Masato Okada
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
Sebastian Millner, Andreas Grübl, Karlheinz Meier et al.
Large Margin Learning of Upstream Scene Understanding Models
Jun Zhu, Li-jia Li, Li Fei-fei et al.
Switched Latent Force Models for Movement Segmentation
Mauricio Alvarez, Jan R. Peters, Neil D. Lawrence et al.
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis
Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda et al.
Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray, Ryan P. Adams
Causal discovery in multiple models from different experiments
Tom Claassen, Tom Heskes
PAC-Bayesian Model Selection for Reinforcement Learning
Mahdi M. Fard, Joelle Pineau
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI
Morten Mørup, Kristoffer Madsen, Anne-marie Dogonowski et al.
Fast Large-scale Mixture Modeling with Component-specific Data Partitions
Bo Thiesson, Chong Wang
Movement extraction by detecting dynamics switches and repetitions
Silvia Chiappa, Jan R. Peters
Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models
Anand Singh, Renaud Jolivet, Pierre Magistretti et al.
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
Dirk Husmeier, Frank Dondelinger, Sophie Lebre
A New Probabilistic Model for Rank Aggregation
Tao Qin, Xiubo Geng, Tie-yan Liu
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings
Ziv Bar-joseph, Hai-son P. Le
Multiple Kernel Learning and the SMO Algorithm
Zhaonan Sun, Nawanol Ampornpunt, Manik Varma et al.
Segmentation as Maximum-Weight Independent Set
William Brendel, Sinisa Todorovic
A unified model of short-range and long-range motion perception
Shuang Wu, Xuming He, Hongjing Lu et al.
Shadow Dirichlet for Restricted Probability Modeling
Bela Frigyik, Maya Gupta, Yihua Chen
A Novel Kernel for Learning a Neuron Model from Spike Train Data
Nicholas Fisher, Arunava Banerjee
Probabilistic latent variable models for distinguishing between cause and effect
Oliver Stegle, Dominik Janzing, Kun Zhang et al.
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development
Diane Hu, Laurens Maaten, Youngmin Cho et al.
Global seismic monitoring as probabilistic inference
Nimar Arora, Stuart Russell, Paul Kidwell et al.
Mixture of time-warped trajectory models for movement decoding
Elaine Corbett, Eric Perreault, Konrad Koerding