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IJAIT
2002
81views more  IJAIT 2002»
13 years 8 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos
CJ
2010
190views more  CJ 2010»
13 years 6 months ago
A Methodological Construction of an Efficient Sequentially Consistent Distributed Shared Memory
A concurrent object is an object that can be concurrently accessed by several processes. Sequential consistency is a consistency criterion for such objects. Informally, it states ...
Vicent Cholvi, Antonio Fernández, Ernesto J...

Publication
404views
14 years 6 months ago
Bayesian variable order Markov models.
We present a simple, effective generalisation of variable order Markov models to full online Bayesian estimation. The mechanism used is close to that employed in context tree wei...
Christos Dimitrakakis
EMMCVPR
1999
Springer
14 years 1 months ago
Auxiliary Variables for Markov Random Fields with Higher Order Interactions
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
Robin D. Morris
NIPS
2007
13 years 10 months ago
Markov Chain Monte Carlo with People
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
Adam Sanborn, Thomas L. Griffiths