The top documents tagged [best algorithms]

Disk Access Model. Using Secondary Storage Effectively In most studies of algorithms, one assumes the “RAM model”: –Data is in main memory, –Access to
Documents Disk Access Model. Using Secondary Storage Effectively In most studies of algorithms, one assumes the “RAM model”: –Data is in main memory, –Access to

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Approximate Frequency Counts over Data Streams Gurmeet Singh Manku (Standford) Rajeev Motwani (Standford) Presented by Michal Spivak November, 2003
Documents Approximate Frequency Counts over Data Streams Gurmeet Singh Manku (Standford) Rajeev Motwani (Standford) Presented by Michal Spivak November, 2003

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A Theory of Learning and Clustering via Similarity Functions Maria-Florina Balcan 09/17/2007 Joint work with Avrim Blum and Santosh Vempala Carnegie Mellon
Documents A Theory of Learning and Clustering via Similarity Functions Maria-Florina Balcan 09/17/2007 Joint work with Avrim Blum and Santosh Vempala Carnegie Mellon

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Lists CSE1303 Part A Data Structures and Algorithms
Documents Lists CSE1303 Part A Data Structures and Algorithms

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Key Challenges for Theoretical Computer Science Richard M. Karp NSF, August 31, 2005
Documents Key Challenges for Theoretical Computer Science Richard M. Karp NSF, August 31, 2005

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Introduction to C++ Programming Csci 169 Prof.A.Bellaachia And Anasse Bari
Documents Introduction to C++ Programming Csci 169 Prof.A.Bellaachia And Anasse Bari

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The Best Algorithms are Randomized Algorithms N. Harvey C&O Dept TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A AAAA
Documents The Best Algorithms are Randomized Algorithms N. Harvey C&O Dept TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A AAAA

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11/18/08 1 An Inconvenient Question: Are We Going to Get the Algorithms and Computing Technology We Need to Make Critical Climate Predictions in Time?
Documents 11/18/08 1 An Inconvenient Question: Are We Going to Get the Algorithms and Computing Technology We Need to Make Critical Climate Predictions in Time?

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M 15338 : Depth Map Estimation Software version 2
Documents M 15338 : Depth Map Estimation Software version 2

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COMP3410 DB32: Technologies for Knowledge Management
Documents COMP3410 DB32: Technologies for Knowledge Management

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Zeev Dvir – dvirzeev@post.tau.ac.il GenMax From: “ Efficiently Mining Frequent Itemsets ” By : Karam Gouda & Mohammed J. Zaki
Documents Zeev Dvir – [email protected] GenMax From: “ Efficiently Mining Frequent Itemsets ” By : Karam Gouda & Mohammed J. Zaki

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The statistical properties and possible causes of polar motion prediction errors Wiesław Kosek (1), Maciej Kalarus (2), Agnieszka Wnęk (1), Maria Zbylut-Górska
Documents The statistical properties and possible causes of polar motion prediction errors Wiesław Kosek (1), Maciej Kalarus (2), Agnieszka Wnęk (1), Maria Zbylut-Górska

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