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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Agreement-Based Learning NIPS 2007
Probabilistic Matrix Factorization NIPS 2007
Comparing Bayesian models for multisensory cue combination without mandatory integration NIPS 2007
Measuring Neural Synchrony by Message Passing NIPS 2007
The Generalized FITC Approximation NIPS 2007
A Probabilistic Approach to Language Change NIPS 2007
Variational inference for Markov jump processes NIPS 2007
Learning with Tree-Averaged Densities and Distributions NIPS 2007
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NIPS 2007
Collective Inference on Markov Models for Modeling Bird Migration NIPS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Receptive Fields without Spike-Triggering NIPS 2007
The Noisy-Logical Distribution and its Application to Causal Inference NIPS 2007
Inferring Elapsed Time from Stochastic Neural Processes NIPS 2007
Efficient Principled Learning of Thin Junction Trees NIPS 2007
Loop Series and Bethe Variational Bounds in Attractive Graphical Models NIPS 2007
Predictive Matrix-Variate t Models NIPS 2007
Inferring Network Structure from Co-Occurrences NIPS 2006
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data NIPS 2006
Part-based Probabilistic Point Matching using Equivalence Constraints NIPS 2006