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ML
2002
ACM
127views Machine Learning» more  ML 2002»
14 years 11 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
ICAC
2008
IEEE
15 years 6 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
PLDI
2012
ACM
13 years 2 months ago
Proving acceptability properties of relaxed nondeterministic approximate programs
Approximate program transformations such as skipping tasks [29, 30], loop perforation [21, 22, 35], reduction sampling [38], multiple selectable implementations [3, 4, 16, 38], dy...
Michael Carbin, Deokhwan Kim, Sasa Misailovic, Mar...
89
Voted
CP
2005
Springer
15 years 5 months ago
Search and Inference in AI Planning
While Planning has been a key area in Artificial Intelligence since its beginnings, significant changes have occurred in the last decade as a result of new ideas and a more estab...
Hector Geffner
94
Voted
SIGSOFT
2004
ACM
16 years 11 days ago
Efficient incremental algorithms for dynamic detection of likely invariants
Dynamic detection of likely invariants is a program analysis that generalizes over observed values to hypothesize program properties. The reported program properties are a set of ...
Jeff H. Perkins, Michael D. Ernst