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» A Monotonic Measure for Optimal Feature Selection
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ICIP
2006
IEEE
16 years 7 months ago
High Definition Video Transmission over Wlans with Time-Scale and R-D Optimized Rate Adaptation
In this paper, we propose a transrating based video rate adaptation technique for compressed high-definition video transmission over wireless local area networks. Our application ...
Mehmet Umut Demircin, Peter van Beek
ECCV
2010
Springer
15 years 11 months ago
Towards Optimal Naive Bayes Nearest Neighbor
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 6 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 10 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
15 years 11 months ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo