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» Distributed Learning with Biogeography-Based Optimization
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GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
14 years 1 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
NIPS
2003
13 years 11 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
13 years 11 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
DAIS
2008
13 years 11 months ago
Using Object Replication for Building a Dependable Version Control System
Object-oriented technologies are frequently used to design and implement distributed applications. Object replication is a well-established approach to increase the dependability f...
Rüdiger Kapitza, Peter Baumann, Hans P. Reise...
CIDR
2007
165views Algorithms» more  CIDR 2007»
13 years 11 months ago
A Black-Box Approach to Query Cardinality Estimation
We present a “black-box” approach to estimating query cardinality that has no knowledge of query execution plans and data distribution, yet provides accurate estimates. It doe...
Tanu Malik, Randal C. Burns, Nitesh V. Chawla