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» Learning Decision Lists Using Homogeneous Rules
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WSC
2008
13 years 10 months ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi
ARTMED
2002
76views more  ARTMED 2002»
13 years 7 months ago
Logistic-based patient grouping for multi-disciplinary treatment
Present-day healthcare witnesses a growing demand for coordination of patient care. Coordination is needed especially in those cases in which hospitals have structured healthcare ...
Laura Maruster, Ton Weijters, Geerhard de Vries, A...
IJVR
2008
118views more  IJVR 2008»
13 years 7 months ago
HERA: Learner Tracking in a Virtual Environment
The main goals of using simulations and Virtual Environments for Training/Learning (VET/L) are to avoid risks and unwanted consequences, to reduce training costs, and to promote tr...
Kahina Amokrane, Domitile Lourdeaux, Jean-Marie Bu...
ICPR
2008
IEEE
14 years 9 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
BMCBI
2006
137views more  BMCBI 2006»
13 years 8 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...