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IJCAI
2007
15 years 8 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir
FLAIRS
2001
15 years 8 months ago
User-Agent Interactions in Mixed-Initiative Learning
Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage of their respective reasoning styles and computational strengths in order to sol...
Dorin Marcu, Mihai Boicu, Gheorghe Tecuci
IANDC
2007
81views more  IANDC 2007»
15 years 6 months ago
Some natural conditions on incremental learning
The present study aims at insights into the nature of incremental learning in the context of Gold’s model of identification in the limit. With a focus on natural requirements s...
Sanjay Jain, Steffen Lange, Sandra Zilles
NLPRS
2001
Springer
15 years 11 months ago
A Separate-and-Learn Approach to EM Learning of PCFGs
WeproposeanewapproachtoEMlearning of PCFGs. We completely separate the process of EM learning from that of parsing, andfor theformer, weintroduce a new EM algorithm called the gra...
Taisuke Sato, Shigeru Abe, Yoshitaka Kameya, Kiyoa...
ICDCS
2008
IEEE
16 years 1 months ago
Analysis of Maximum Executable Length for Detecting Text-Based Malware
The possibility of using purely text stream (keyboardenterable) as carrier of malware is under-researched and often underestimated. A text attack can happen at multiple levels, fr...
P. Kumar Manna, Sanjay Ranka, Shigang Chen