Papers
23,522 papers found
Action-Model Based Multi-agent Plan Recognition
Hankz H. Zhuo, Qiang Yang, Subbarao Kambhampati
Semiparametric Principal Component Analysis
Fang Han, Han Liu
A Conditional Multinomial Mixture Model for Superset Label Learning
Liping Liu, Thomas G. Dietterich
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning
Matthew Der, Lawrence K. Saul
A nonparametric variable clustering model
Konstantina Palla, Zoubin Ghahramani, David A. Knowles
Transelliptical Graphical Models
Han Liu, Fang Han, Cun-hui Zhang
A Neural Autoregressive Topic Model
Hugo Larochelle, Stanislas Lauly
Active Learning of Multi-Index Function Models
Tyagi Hemant, Volkan Cevher
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation
Christian Mayr, Paul Stärke, Johannes Partzsch et al.
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models
Weiwei Cheng, Eyke Hüllermeier, Willem Waegeman et al.
Weighted Likelihood Policy Search with Model Selection
Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio et al.
On model selection consistency of penalized M-estimators: a geometric theory
Jason Lee, Yuekai Sun, Jonathan E Taylor
Sequential Transfer in Multi-armed Bandit with Finite Set of Models
Mohammad Gheshlaghi azar, Alessandro Lazaric, Emma Brunskill
Graphical Models for Inference with Missing Data
Karthika Mohan, Judea Pearl, Jin Tian
Translating Embeddings for Modeling Multi-relational Data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran et al.
Synthesizing Robust Plans under Incomplete Domain Models
Tuan A Nguyen, Subbarao Kambhampati, Minh Do
Learning Gaussian Graphical Models with Observed or Latent FVSs
Ying Liu, Alan Willsky
Learning Multi-level Sparse Representations
Ferran Diego Andilla, Fred A. Hamprecht
An Approximate, Efficient LP Solver for LP Rounding
Srikrishna Sridhar, Stephen Wright, Christopher Re et al.
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
Roger Frigola, Fredrik Lindsten, Thomas B Schön et al.
On Poisson Graphical Models
Eunho Yang, Pradeep K Ravikumar, Genevera I Allen et al.
Factorized Asymptotic Bayesian Inference for Latent Feature Models
Kohei Hayashi, Ryohei Fujimaki
Causal Inference on Time Series using Restricted Structural Equation Models
Jonas Peters, Dominik Janzing, Bernhard Schölkopf
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio, Li Yao, Guillaume Alain et al.