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» Learning Instance-Specific Predictive Models
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NIPS
1998
13 years 10 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
RECOMB
2006
Springer
14 years 9 months ago
Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data
MicroRNAs (miRNAs) have recently been discovered as an important class of non-coding RNA genes that play a major role in regulating gene expression, providing a means to control th...
Jim C. Huang, Quaid Morris, Brendan J. Frey
COOPIS
2002
IEEE
14 years 1 months ago
Discovering Emergent Virtual Work Processes in Collaborative Systems
The design of virtual workplaces that can support virtual work processes has traditionally been either ad-hoc, or has been influenced by the top-down approaches, such as ‘virtua...
Simeon J. Simoff, Robert P. Biuk-Aghai
ECAI
2006
Springer
14 years 9 days ago
Agents with Anticipatory Behaviors: To Be Cautious in a Risky Environment
This work presents some anticipatory mechanisms in an agent architecture, modeling affective behaviours as effects of surprise. Through experiment discussion, the advantages of bec...
Cristiano Castelfranchi, Rino Falcone, Michele Piu...
SIGSOFT
2005
ACM
14 years 9 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...