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» Rule Combination in Inductive Learning
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73
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WSC
2008
15 years 1 hour 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
EUC
2005
Springer
15 years 3 months ago
Middleware Architecture for Context Knowledge Discovery in Ubiquitous Computing
Advanced analysis of data for extracting useful knowledge is the next natural step in the world of ubiquitous computing. So far, most of the ubiquitous systems process knowledge in...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
73
Voted
ACL
2008
14 years 11 months ago
Sentence Simplification for Semantic Role Labeling
Parse-tree paths are commonly used to incorporate information from syntactic parses into NLP systems. These systems typically treat the paths as atomic (or nearly atomic) features...
David Vickrey, Daphne Koller
DATAMINE
2002
147views more  DATAMINE 2002»
14 years 9 months ago
Discretization: An Enabling Technique
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more concise to represent and specify, easier to use and ...
Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan...
ICWE
2004
Springer
15 years 3 months ago
Personalisation Services for Self E-learning Networks
This paper describes the personalisation services designed for self e-learning networks in the SeLeNe project. A self e-learning network consists of web-based learning objects that...
Kevin Keenoy, Alexandra Poulovassilis, Vassilis Ch...