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NIPS
2003
15 years 1 months ago
Human and Ideal Observers for Detecting Image Curves
This paper compares the ability of human observers to detect target image curves with that of an ideal observer. The target curves are sampled from a generative model which speciï...
Alan L. Yuille, Fang Fang, Paul R. Schrater, Danie...
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 3 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 3 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
ARCSF
2008
15 years 1 months ago
Probabilistic Prediction of Student Affect from Hand Gestures
Abstract-- Affective information is vital for effective human-tohuman communication. Likewise, human-to-computer communication could be potentiated by an "affective barometer&...
Abdul Rehman Abbasi, Matthew N. Dailey, Nitin V. A...
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JAIR
2010
145views more  JAIR 2010»
14 years 10 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint