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ISCAS
2008
IEEE
197views Hardware» more  ISCAS 2008»
15 years 10 months ago
Human activity recognition for video surveillance
—This paper presents a novel approach for automatic recognition of human activities from video sequences. We first group features with high correlations into Category Feature Vec...
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng...
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
15 years 10 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
AAAI
2008
15 years 6 months ago
Bounding the False Discovery Rate in Local Bayesian Network Learning
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Ioannis Tsamardinos, Laura E. Brown
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 1 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
TIT
1998
123views more  TIT 1998»
15 years 3 months ago
The Minimum Description Length Principle in Coding and Modeling
—We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
Andrew R. Barron, Jorma Rissanen, Bin Yu