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» Learning Functions from Imperfect Positive Data
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WABI
2005
Springer
108views Bioinformatics» more  WABI 2005»
14 years 1 months ago
On the Complexity of Several Haplotyping Problems
We present several new results pertaining to haplotyping. The first set of results concerns the combinatorial problem of reconstructing haplotypes from incomplete and/or imperfect...
Rudi Cilibrasi, Leo van Iersel, Steven Kelk, John ...
COMPSAC
2000
IEEE
13 years 12 months ago
Effort-Index-Based Software Reliability Growth Models and Performance Assessment
In this paper, we first show that the logistic testing-effort function is practically acceptable/helpful for modeling software reliability growth and providing a reasonable descri...
Chin-Yu Huang, Sy-Yen Kuo, Michael R. Lyu
KDD
1999
ACM
104views Data Mining» more  KDD 1999»
13 years 11 months ago
Learning Rules from Distributed Data
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowye...
ICIP
2009
IEEE
14 years 8 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
CEC
2009
IEEE
14 years 2 months ago
An adaptive learning particle swarm optimizer for function optimization
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...
Changhe Li, Shengxiang Yang