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» On Learning Limiting Programs
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TCS
2008
15 years 5 months ago
Absolute versus probabilistic classification in a logical setting
Suppose we are given a set W of logical structures, or possible worlds, a set of logical formulas called possible data and a logical formula . We then consider the classification p...
Sanjay Jain, Eric Martin, Frank Stephan
170
Voted
LICS
2010
IEEE
15 years 3 months ago
Polarity and the Logic of Delimited Continuations
Abstract—Polarized logic is the logic of values and continuations, and their interaction through continuation-passing style. The main limitations of this logic are the limitation...
Noam Zeilberger
ICCV
2007
IEEE
16 years 7 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
AISADM
2005
Springer
15 years 10 months ago
Evolving Agents: Communication and Cognition
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
Leonid I. Perlovsky
278
Voted
UM
2010
Springer
15 years 10 months ago
Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing
The field of intelligent tutoring systems has been using the well known knowledge tracing model, popularized by Corbett and Anderson (1995) to track individual users’ knowledge f...
Zachary A. Pardos, Neil T. Heffernan