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» VDCBPI: an Approximate Scalable Algorithm for Large POMDPs
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INFOCOM
2012
IEEE
13 years 2 months ago
Reverse-engineering BitTorrent: A Markov approximation perspective
Abstract—BitTorrent has been the most popular P2P (Peer-toPeer) paradigm during recent years. Built upon great intuition, the piece-selection and neighbor-selection modules roote...
Ziyu Shao, Hao Zhang, Minghua Chen, Kannan Ramchan...
CVPR
2009
IEEE
16 years 6 months ago
Learning query-dependent prefilters for scalable image retrieval
We describe an algorithm for similar-image search which is designed to be efficient for extremely large collections of images. For each query, a small response set is selected by...
Lorenzo Torresani (Dartmouth College), Martin Szum...
RECONFIG
2009
IEEE
182views VLSI» more  RECONFIG 2009»
15 years 6 months ago
Scalability Studies of the BLASTn Scan and Ungapped Extension Functions
BLASTn is a ubiquitous tool used for large scale DNA analysis. Detailed profiling tests reveal that the most computationally intensive sections of the BLASTn algorithm are the sc...
Siddhartha Datta, Ron Sass
ICDE
2010
IEEE
371views Database» more  ICDE 2010»
15 years 11 months ago
TASM: Top-k Approximate Subtree Matching
Abstract-- We consider the Top-k Approximate Subtree Matching (TASM) problem: finding the k best matches of a small query tree, e.g., a DBLP article with 15 nodes, in a large docum...
Nikolaus Augsten, Denilson Barbosa, Michael H. B&o...
ILP
2004
Springer
15 years 5 months ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik