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» Probabilistic Modeling for Structural Change Inference
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KDD
2009
ACM
203views Data Mining» more  KDD 2009»
15 years 10 months ago
Characterizing individual communication patterns
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...
71
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TSMC
2010
14 years 4 months ago
Interaction Modeling and Prediction in Smart Spaces: A Bio-Inspired Approach Based on Autobiographical Memory
In Smart Spaces (SSs), the capability of learning from experience is fundamental for autonomous adaptation to environmental changes and for proactive interaction with users. New re...
Alessio Dore, Andrea F. Cattoni, Carlo S. Regazzon...
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 1 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...
BMCBI
2010
137views more  BMCBI 2010»
14 years 9 months ago
Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments
Background: While the pairwise alignments produced by sequence similarity searches are a powerful tool for identifying homologous proteins - proteins that share a common ancestor ...
Michael L. Sierk, Michael E. Smoot, Ellen J. Bass,...
CHI
2006
ACM
15 years 10 months ago
The affective remixer: personalized music arranging
This paper describes a real-time music-arranging system that reacts to immediate affective cues from a listener. Data was collected on the potential of certain musical dimensions ...
Jae-woo Chung, G. Scott Vercoe