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OOPSLA
2010
Springer
15 years 5 months ago
A simple inductive synthesis methodology and its applications
Given a high-level specification and a low-level programming language, our goal is to automatically synthesize an efficient program that meets the specification. In this paper,...
Shachar Itzhaky, Sumit Gulwani, Neil Immerman, Moo...
OTM
2010
Springer
15 years 5 months ago
A Context-Based Model for the Interpretation of Polysemous Terms
The problem of polysemy involves having terms, such as “truck”, that refer to multiple concepts in different contexts; and conversely, having the same concept referred to with...
Chrisa Tsinaraki, Yannis Velegrakis, Nadzeya Kiyav...
PERCOM
2010
ACM
15 years 5 months ago
All for one or one for all? Combining heterogeneous features for activity spotting
Abstract—Choosing the right feature for motion based activity spotting is not a trivial task. Often, features derived by intuition or that proved to work well in previous work ar...
Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lu...
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 5 months ago
Laplacian Spectrum Learning
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Pannagadatta K. Shivaswamy, Tony Jebara
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 5 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup