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AOIS
2004
15 years 6 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
IADIS
2004
15 years 6 months ago
Open-Ended Navigation Path Planning in Self-Directed Learning on the Web
The main topic addressed in this paper is how to help a learner plan a navigation path in self-directed learning on the Web. Our approach to this issue is to analyze the open-ende...
Shinobu Hasegawa, Akihiro Kashihara
ETS
2000
IEEE
154views Hardware» more  ETS 2000»
15 years 4 months ago
Task Structuring for On-line Problem Based Learning: A Case Study
Getting students to collaborate on group projects in a face-to-face scenario can be difficult enough -- but how does one approach collaborative projects in a Web-based environment...
Vanessa Paz Dennen
IPL
2010
92views more  IPL 2010»
15 years 3 months ago
Learning parities in the mistake-bound model
We study the problem of learning parity functions that depend on at most k variables (kparities) attribute-efficiently in the mistake-bound model. We design a simple, deterministi...
Harry Buhrman, David García-Soriano, Arie M...
JMLR
2010
123views more  JMLR 2010»
14 years 12 months ago
Inductive Principles for Restricted Boltzmann Machine Learning
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...