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ICMLA
2009
15 years 1 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
130
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ICPPW
2009
IEEE
15 years 1 months ago
Characterizing the Performance of
Using Linux for high-performance applications on the compute nodes of IBM Blue Gene/P is challenging because of TLB misses and difficulties with programming the network DMA engine...
Kazutomo Yoshii, Kamil Iskra, Harish Naik, Pete Be...
IEEEPACT
2009
IEEE
15 years 1 months ago
Algorithmic Skeletons within an Embedded Domain Specific Language for the CELL Processor
Efficiently using the hardware capabilities of the Cell processor, a heterogeneous chip multiprocessor that uses several levels of parallelism to deliver high performance, and bei...
Tarik Saidani, Joel Falcou, Claude Tadonki, Lionel...
CVPR
2011
IEEE
15 years 26 days ago
Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes
BALT
2010
14 years 10 months ago
Grammatical Aspects: Coping with Duplication and Tangling in Language Specifications
For the purposes of tool development, computer languages are usually described using context-free grammars with annotations such as semantic actions or pretty-printing instructions...
Andrey Breslav