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ICML
2010
IEEE
15 years 7 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
ASPLOS
2010
ACM
16 years 1 months ago
MacroSS: macro-SIMDization of streaming applications
SIMD (Single Instruction, Multiple Data) engines are an essential part of the processors in various computing markets, from servers to the embedded domain. Although SIMD-enabled a...
Amir Hormati, Yoonseo Choi, Mark Woh, Manjunath Ku...
EDBT
2010
ACM
210views Database» more  EDBT 2010»
15 years 8 months ago
Keyword search for data-centric XML collections with long text fields
Users who are unfamiliar with database query languages can search XML data sets using keyword queries. Current approaches for supporting such queries are either for textcentric XM...
Arash Termehchy, Marianne Winslett
AAAI
1998
15 years 7 months ago
Probabilistic Frame-Based Systems
Two of the most important threads of work in knowledge representation today are frame-based representation systems (FRS's) and Bayesian networks (BNs). FRS's provide an ...
Daphne Koller, Avi Pfeffer
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
13 years 8 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi