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ICML
2005
IEEE
14 years 8 months ago
Predicting relative performance of classifiers from samples
This paper is concerned with the problem of predicting relative performance of classification algorithms. It focusses on methods that use results on small samples and discusses th...
Rui Leite, Pavel Brazdil
ICML
1994
IEEE
13 years 11 months ago
Reducing Misclassification Costs
We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification ...
Michael J. Pazzani, Christopher J. Merz, Patrick M...
SIAMJO
2010
136views more  SIAMJO 2010»
13 years 2 months ago
A New Exchange Method for Convex Semi-Infinite Programming
In this paper we propose a new exchange method for solving convex semi-infinite programming (CSIP) problems. We introduce a new dropping-rule in the proposed exchange algorithm, wh...
Liping Zhang, Soon-Yi Wu, Marco A. López
CHI
2007
ACM
14 years 8 months ago
A cognitive constraint model of dual-task trade-offs in a highly dynamic driving task
The paper describes an approach to modeling the strategic variations in performing secondary tasks while driving. In contrast to previous efforts that are based on simulation of a...
Duncan P. Brumby, Andrew Howes, Dario D. Salvucci
BMCBI
2007
153views more  BMCBI 2007»
13 years 8 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt