Sciweavers

588 search results - page 105 / 118
» Modeling and Verifying Circuits Using Generalized Relative T...
Sort
View
ICML
2007
IEEE
14 years 9 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ICML
2003
IEEE
14 years 9 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller
POPL
2009
ACM
14 years 8 months ago
State-dependent representation independence
Mitchell's notion of representation independence is a particularly useful application of Reynolds' relational parametricity -- two different implementations of an abstra...
Amal Ahmed, Derek Dreyer, Andreas Rossberg
EMSOFT
2007
Springer
14 years 4 days ago
A unified practical approach to stochastic DVS scheduling
This paper deals with energy-aware real-time system scheduling using dynamic voltage scaling (DVS) for energy-constrained embedded systems that execute variable and unpredictable ...
Ruibin Xu, Rami G. Melhem, Daniel Mossé
ALT
2006
Springer
14 years 5 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri