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174
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ICML
2009
IEEE
16 years 7 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
167
Voted
ICML
2006
IEEE
16 years 7 months ago
Maximum margin planning
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinke...
ICML
2004
IEEE
16 years 7 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
CP
2009
Springer
16 years 7 months ago
From Model-Checking to Temporal Logic Constraint Solving
Abstract. In this paper, we show how model-checking can be generalized to temporal logic constraint solving, by considering temporal logic formulae with free variables over some do...
Aurélien Rizk, François Fages
ICCAD
2003
IEEE
210views Hardware» more  ICCAD 2003»
16 years 3 months ago
Generalized Network Flow Techniques for Dynamic Voltage Scaling in Hard Real-Time Systems
Energy consumption is an important performance parameter for portable and wireless embedded systems. However, energy consumption must be carefully balanced with real-time responsi...
Vishnu Swaminathan, Krishnendu Chakrabarty