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COLT
1993
Springer
13 years 11 months ago
Learning Binary Relations Using Weighted Majority Voting
In this paper we demonstrate how weighted majority voting with multiplicative weight updating can be applied to obtain robust algorithms for learning binary relations. We first pre...
Sally A. Goldman, Manfred K. Warmuth
NIPS
2000
13 years 8 months ago
Explaining Away in Weight Space
Explaining away has mostly been considered in terms of inference of states in belief networks. We show how it can also arise in a Bayesian context in inference about the weights g...
Peter Dayan, Sham Kakade
CSCW
2000
ACM
13 years 11 months ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
VL
2007
IEEE
113views Visual Languages» more  VL 2007»
14 years 1 months ago
Explaining Debugging Strategies to End-User Programmers
There has been little research into how end-user programming environments can provide explanations that could fill a critical information gap for end-user debuggers – help with ...
Neeraja Subrahmaniyan, Cory Kissinger, Kyle Rector...
VL
2006
IEEE
14 years 1 months ago
Sketching with Conceptual Metaphors to Explain Computational Processes
To explore how people conceptualize a complex system, 232 university students were asked to sketch how a search engine works. While the sketches reveal a diverse range of visual a...
David G. Hendry