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AI
2006
Springer
15 years 10 months ago
An Improved LAZY-AR Approach to Bayesian Network Inference
We propose LAZY arc-reversal with variable elimination (LAZY-ARVE) as a new approach to probabilistic inference in Bayesian networks (BNs). LAZY-ARVE is an improvement upon LAZY ar...
Cory J. Butz, Shan Hua
FINTAL
2006
15 years 10 months ago
Improving Phrase-Based Statistical Translation Through Combination of Word Alignments
This paper investigates the combination of word-alignments computed with the competitive linking algorithm and well-established IBM models. New training methods for phrase-based st...
Boxing Chen, Marcello Federico
GECCO
2006
Springer
196views Optimization» more  GECCO 2006»
15 years 10 months ago
An anticipatory approach to improve XCSF
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
Amin Nikanjam, Adel Torkaman Rahmani
ILP
2000
Springer
15 years 10 months ago
Using ILP to Improve Planning in Hierarchical Reinforcement Learning
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
Mark D. Reid, Malcolm R. K. Ryan
180
Voted
ICPR
2010
IEEE
15 years 8 months ago
Improved Blur Insensitivity for Decorrelated Local Phase Quantization
This paper presents a novel blur tolerant decorrelation scheme for local phase quantization (LPQ) texture descriptor. As opposed to previous methods, the introduced model can be a...
Janne Heikkilä, Ville Ojansivu, Esa Rahtu