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    NIPS
    2007
    106views Information Technology» more  NIPS 2007»
    Loop Series and Bethe Variational Bounds in Attractive Graphical Models
    14 years 11 months ago
    Loop Series and Bethe Variational Bounds in Attractive Graphical Models
    Download  books.nips.cc
    Variational methods are frequently used to approximate or bound the partition or likelihood function of a Markov random field. Methods based on mean field theory are guaranteed ...
    Erik B. Sudderth, Martin J. Wainwright, Alan S. Wi...
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    RSS
    2007
    198views Robotics» more  RSS 2007»
    CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
    14 years 11 months ago
    CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
    Download  www.roboticsproceedings.org
    — Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing t...
    Fabio T. Ramos, Dieter Fox, Hugh F. Durrant-Whyte
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    UAI
    2008
    226views Artificial Intelligence» more  UAI 2008»
    Tightening LP Relaxations for MAP using Message Passing
    14 years 11 months ago
    Tightening LP Relaxations for MAP using Message Passing
    Download  people.csail.mit.edu
    Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently u...
    David Sontag, Talya Meltzer, Amir Globerson, Tommi...
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    AAAI
    2006
    93views Intelligent Agents» more  AAAI 2006»
    Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
    14 years 11 months ago
    Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
    Download  www.cs.washington.edu
    Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
    Hoifung Poon, Pedro Domingos
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    NIPS
    2004
    186views Information Technology» more  NIPS 2004»
    Hierarchical Bayesian Inference in Networks of Spiking Neurons
    14 years 11 months ago
    Hierarchical Bayesian Inference in Networks of Spiking Neurons
    Download  books.nips.cc
    There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
    Rajesh P. N. Rao
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