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Probabilistic Modeling

2,252 papers

Papers per year

5
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212
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Papers

Receptive Fields without Spike-Triggering NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
People Tracking with the Laplacian Eigenmaps Latent Variable Model NIPS 2007
Collective Inference on Markov Models for Modeling Bird Migration NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NIPS 2007
Learning with Tree-Averaged Densities and Distributions NIPS 2007
Variational inference for Markov jump processes NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
Modeling homophily and stochastic equivalence in symmetric relational data NIPS 2007
A Probabilistic Approach to Language Change NIPS 2007
A Bayesian LDA-based model for semi-supervised part-of-speech tagging NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007
Sparse Overcomplete Latent Variable Decomposition of Counts Data NIPS 2007
Modelling motion primitives and their timing in biologically executed movements NIPS 2007
Discovering Weakly-Interacting Factors in a Complex Stochastic Process NIPS 2007
Efficient Bayesian Inference for Dynamically Changing Graphs NIPS 2007
Hidden Common Cause Relations in Relational Learning NIPS 2007
The Generalized FITC Approximation NIPS 2007