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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
14 years 11 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
UIST
2003
ACM
15 years 5 months ago
User interface continuations
Dialog boxes that collect parameters for commands often create ephemeral, unnatural interruptions of a program’s normal execution flow, encouraging the user to complete the dial...
Dennis Quan, David Huynh, David R. Karger, Robert ...
184
Voted
GIS
2006
ACM
16 years 1 months ago
Generalization of land cover maps by mixed integer programming
We present a novel method for the automatic generalization of land cover maps. A land cover map is composed of areas that collectively form a tessellation of the plane and each ar...
Jan-Henrik Haunert, Alexander Wolff
118
Voted
PLDI
1998
ACM
15 years 4 months ago
The Implementation of the Cilk-5 Multithreaded Language
The fth release of the multithreaded language Cilk uses a provably good \work-stealing" scheduling algorithm similar to the rst system, but the language has been completely r...
Matteo Frigo, Charles E. Leiserson, Keith H. Randa...
ICML
2010
IEEE
15 years 1 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre