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ML
2008
ACM
150views Machine Learning» more  ML 2008»
14 years 11 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
ECAI
2004
Springer
15 years 5 months ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...
ALMOB
2006
138views more  ALMOB 2006»
14 years 12 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh
GLOBECOM
2010
IEEE
14 years 9 months ago
Adaptive Modulation in Wireless Networks with Smoothed Flow Utility
We investigate flow rate optimization on a wireless link with randomly varying channel gain using techniques from adaptive modulation and network utility maximization. We consider ...
Ekine Akuiyibo, Stephen P. Boyd, Daniel O'Neill
ECCC
2007
115views more  ECCC 2007»
14 years 11 months ago
A (De)constructive Approach to Program Checking
Program checking, program self-correcting and program selftesting were pioneered by [Blum and Kannan] and [Blum, Luby and Rubinfeld] in the mid eighties as a new way to gain conï¬...
Shafi Goldwasser, Dan Gutfreund, Alexander Healy, ...