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107
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JAIR
2011
144views more  JAIR 2011»
14 years 7 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau
115
Voted
CVPR
2004
IEEE
16 years 2 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
ANSS
2000
IEEE
15 years 5 months ago
Flow Control and Dynamic Load Balancing in Time Warp
We present, in this paper, an algorithm which integrates flow control and dynamic load balancing in Time Warp. The algorithm is intended for use in a distributed memory environme...
Myongsu Choe, Carl Tropper
85
Voted
BMCBI
2007
178views more  BMCBI 2007»
15 years 17 days ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
PPSN
1990
Springer
15 years 4 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu