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» Arguing and Explaining Classifications
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ICML
2005
IEEE
14 years 9 months ago
Discriminative versus generative parameter and structure learning of Bayesian network classifiers
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
Franz Pernkopf, Jeff A. Bilmes
ICML
2003
IEEE
14 years 9 months ago
Identifying Predictive Structures in Relational Data Using Multiple Instance Learning
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
Amy McGovern, David Jensen
CHI
2009
ACM
14 years 9 months ago
Friend or foe?: examining CAS use in mathematics research
Computer Algebra Systems (CAS) provide sophisticated functionality to assist with mathematical problem solving. Despite their widespread adoption, however, little work in the HCI ...
Andrea Bunt, Michael Terry, Edward Lank
CHI
2009
ACM
14 years 9 months ago
Rake cursor: improving pointing performance with concurrent input channels
We investigate the use of two concurrent input channels to perform a pointing task. The first channel is the traditional mouse input device whereas the second one is the gaze posi...
Renaud Blanch, Michael Ortega
CHI
2009
ACM
14 years 9 months ago
Out from behind the curtain: learning from a human auditory display
In this paper we describe an approach to gathering design requirements for a software auditory display by analyzing user interactions with an ideal partner: a talking human contro...
Peter Parente, Gary Bishop