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» Learning and prediction of slip from visual information
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JMLR
2010
117views more  JMLR 2010»
13 years 2 months ago
Exploiting the High Predictive Power of Multi-class Subgroups
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
Tarek Abudawood, Peter A. Flach
26
Voted
ISMB
1993
13 years 9 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
AI
2007
Springer
13 years 8 months ago
Head gestures for perceptual interfaces: The role of context in improving recognition
Head pose and gesture offer several conversational grounding cues and are used extensively in face-to-face interaction among people. To recognize visual feedback efficiently, hum...
Louis-Philippe Morency, Candace L. Sidner, Christo...
TSE
2008
129views more  TSE 2008»
13 years 7 months ago
Classifying Software Changes: Clean or Buggy?
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001
JCDL
2009
ACM
162views Education» more  JCDL 2009»
14 years 2 months ago
Supporting analysis of future-related information in news archives and the web
A lot of future-related information is available in news articles or Web pages. This information can however differ to large extent and may fluctuate over time. It is therefore di...
Adam Jatowt, Kensuke Kanazawa, Satoshi Oyama, Kats...