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» Learning When to Use Lazy Learning in Constraint Solving
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ICMLA
2007
13 years 9 months ago
Learning complex problem solving expertise from failures
Our research addresses the issue of developing knowledge-based agents that capture and use the problem solving knowledge of subject matter experts from diverse application domains...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu
CEC
2007
IEEE
14 years 1 months ago
Evolving the best-response strategy to decide when to make a proposal
— This paper designed and developed negotiation agents with the distinguishing features of 1) conducting continuous time negotiation rather than discrete time negotiation, 2) lea...
Bo An, Kwang Mong Sim, Victor R. Lesser
AIED
2007
Springer
14 years 1 months ago
Benefits of Handwritten Input for Students Learning Algebra Equation Solving
Building on past results establishing a benefit for using handwriting when entering mathematics on the computer, we hypothesize that handwriting as an input modality may be able to...
Lisa Anthony, Jie Yang, Kenneth R. Koedinger
JMLR
2012
11 years 10 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
FLAIRS
2007
13 years 9 months ago
Search Ordering Heuristics for Restarts-Based Constraint Solving
Constraint Satisfaction Problems are ubiquitous in Artificial Intelligence. Over the past decade significant advances have been made in terms of the size of problem instance tha...
Margarita Razgon, Barry O'Sullivan, Gregory M. Pro...