ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
ATAL
2005
Springer
14 years 5 months ago
2005
Springer
There are many situations where an agent can perform one of several sets of actions in responses to changes in its environment, and the agent chooses to perform the set of actions...
LPAR
2005
Springer
14 years 5 months ago
2005
Springer
Local search algorithms are one of the effective methods for solving hard combinatorial problems. However, a serious problem of this approach is that the search often traps at loca...
GECCO
2005
Springer
14 years 5 months ago
2005
Springer
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
EMMCVPR
2005
Springer
14 years 5 months ago
2005
Springer
In this paper, a novel training method is proposed to increase the classification efficiency of support vector machine (SVM). The efficiency of the SVM is determined by the number ...
AUSAI
2005
Springer
14 years 5 months ago
2005
Springer
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
APPROX
2005
Springer
14 years 5 months ago
2005
Springer
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
ASPDAC
2005
ACM
14 years 5 months ago
2005
ACM
With impressive progress in Boolean Satisfiability (SAT) solving and several extensions to pseudo-Boolean (PB) constraints, many applications that use SAT, such as highperformanc...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
ROBIO
2006
IEEE
14 years 5 months ago
2006
IEEE
– This paper presents an ongoing investigation to select optimal subset of features from set of well-known myoelectric signals (MES) features in time and frequency domains. Four ...