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AI
2002
Springer
15 years 6 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
AAAI
2004
15 years 8 months ago
Performance Bounded Reinforcement Learning in Strategic Interactions
Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeably lacking. T...
Bikramjit Banerjee, Jing Peng
CONCURRENCY
1998
130views more  CONCURRENCY 1998»
15 years 6 months ago
JPVM: network parallel computing in Java
The JPVM library is a software system for explicit message-passing based distributed memory MIMD parallel programming in Java. The library supports an interface similar to the C a...
Adam Ferrari
183
Voted
KDD
2009
ACM
205views Data Mining» more  KDD 2009»
16 years 1 months ago
From active towards InterActive learning: using consideration information to improve labeling correctness
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abraham Bernstein, Jiwen Li
AIED
2005
Springer
16 years 8 days ago
The role of learning goals in the design of ILEs: Some issues to consider
Part of the motivation behind the evolution of learning environments is the idea of providing students with individualized instructional strategies that allow them to learn as much...
Erika Martínez-Mirón, Amanda Harris,...