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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
BIBE
2001
IEEE
15 years 7 months ago
Gene Classification using Expression Profiles: A Feasibility Study
As various genome sequencing projects have already been completed or are near completion, genome researchers are shifting their focus from structural genomics to functional genomi...
Michihiro Kuramochi, George Karypis
PARA
1995
Springer
15 years 7 months ago
A Proposal for a Set of Parallel Basic Linear Algebra Subprograms
This paper describes a proposal for a set of Parallel Basic Linear Algebra Subprograms PBLAS. The PBLAS are targeted at distributed vector-vector, matrix-vector and matrixmatrix...
Jaeyoung Choi, Jack Dongarra, Susan Ostrouchov, An...
SC
1995
ACM
15 years 7 months ago
Lazy Release Consistency for Hardware-Coherent Multiprocessors
Release consistency is a widely accepted memory model for distributed shared memory systems. Eager release consistency represents the state of the art in release consistent protoc...
Leonidas I. Kontothanassis, Michael L. Scott, Rica...
FLAIRS
2004
15 years 5 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang