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» Structured machine learning: the next ten years
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ICML
1997
IEEE
16 years 14 days ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
CE
2004
128views more  CE 2004»
14 years 11 months ago
The role of educational software as a support for teaching and learning conversations
: Much recent educational research focuses on teaching and learning within classroom conversations. This raises the question of the role of ICT as a support for such conversations....
Rupert Wegerif
IJCAI
2007
15 years 1 months ago
Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree
In the past ten years, boosting has become a major field of machine learning and classification. This paper brings contributions to its theory and algorithms. We first unify a ...
Claudia Henry, Richard Nock, Frank Nielsen
EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 4 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
101
Voted
IWCLS
1999
Springer
15 years 3 months ago
An Adaptive Agent Based Economic Model
In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
Sonia Schulenburg, Peter Ross