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» Evaluating Adaptive Problem Selection
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131
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PRL
2010
159views more  PRL 2010»
15 years 1 months ago
Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...
Muhammad Atif Tahir, Jim E. Smith
132
Voted
CORR
2006
Springer
143views Education» more  CORR 2006»
15 years 3 months ago
A Knowledge-Based Approach for Selecting Information Sources
Through the Internet and the World-Wide Web, a vast number of information sources has become available, which offer information on various subjects by different providers, often i...
Thomas Eiter, Michael Fink, Hans Tompits
125
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BMCBI
2007
128views more  BMCBI 2007»
15 years 3 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
136
Voted
TC
2011
14 years 10 months ago
Software-Based Cache Coherence with Hardware-Assisted Selective Self-Invalidations Using Bloom Filters
— Implementing shared memory consistency models on top of hardware caches gives rise to the well-known cache coherence problem. The standard solution involves implementing cohere...
Thomas J. Ashby, Pedro Diaz, Marcelo Cintra
114
Voted
CHI
2008
ACM
16 years 4 months ago
CareLog: a selective archiving tool for behavior management in schools
Identifying the function of problem behavior can lead to the development of more effective interventions. One way to identify the function is through functional behavior assessmen...
Gillian R. Hayes, Lamar M. Gardere, Gregory D. Abo...