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SIGCSE
1998
ACM
102views Education» more  SIGCSE 1998»
14 years 20 days ago
Design patterns for data structures
tterns help narrow the gap between the abstract views of the data structures and their concrete implementations. The smaller the gap, the higher the level action. The more abstract...
Dung Nguyen
APIN
2007
118views more  APIN 2007»
13 years 8 months ago
Using genetic algorithms to reorganize superpeer structure in peer to peer networks
In this thesis, we describe a genetic algorithm for optimizing the superpeer structure of semantic peer to peer networks. Peer to peer, also called P2P, networks enable us to sear...
Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Ar...
CORR
2008
Springer
157views Education» more  CORR 2008»
13 years 8 months ago
The Imaginary Sliding Window As a New Data Structure for Adaptive Algorithms
Abstract.1 The scheme of the sliding window is known in Information Theory, Computer Science, the problem of predicting and in stastistics. Let a source with unknown statistics gen...
Boris Ryabko
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
14 years 10 days ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
IPPS
1997
IEEE
14 years 19 days ago
A Randomized Sorting Algorithm on the BSP model
We present a new randomized sorting algorithm on the Bulk-SynchronousParallel (BSP) model. The algorithm improves upon the parallel slack of previous algorithms to achieve optimal...
Alexandros V. Gerbessiotis, Constantinos J. Siniol...