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ECAI
2004
Springer
14 years 2 months ago
Instance-Based Prediction with Guaranteed Confidence
Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
Eyke Hüllermeier
BPM
2010
Springer
186views Business» more  BPM 2010»
13 years 12 months ago
How to Implement a Theory of Correctness in the Area of Business Processes and Services
During the previous years, we presented several results concerned with various issues related to the correctness of models for business processes and services (i. e., interorganiza...
Niels Lohmann, Karsten Wolf
BMCBI
2010
98views more  BMCBI 2010»
13 years 11 months ago
Learning to predict expression efficacy of vectors in recombinant protein production
Background: Recombinant protein production is a useful biotechnology to produce a large quantity of highly soluble proteins. Currently, the most widely used production system is t...
Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Uen...
ICML
2007
IEEE
14 years 11 months ago
Full regularization path for sparse principal component analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
ICML
2005
IEEE
14 years 11 months ago
Online feature selection for pixel classification
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
Karen A. Glocer, Damian Eads, James Theiler