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PRL
2010
149views more  PRL 2010»
13 years 16 days ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
IWPSE
2007
IEEE
14 years 1 days ago
Improving defect prediction using temporal features and non linear models
Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
Abraham Bernstein, Jayalath Ekanayake, Martin Pinz...
IUI
2009
ACM
14 years 2 months ago
Using salience to segment desktop activity into projects
Knowledge workers must manage large numbers of simultaneous, ongoing projects that collectively involve huge numbers of resources (documents, emails, web pages, calendar items, et...
Daniel Lowd, Nicholas Kushmerick
CD
2005
Springer
13 years 11 months ago
Modelling Deployment Using Feature Descriptions and State Models for Component-Based Software Product Families
Abstract. Products within a product family are composed of different component configurations where components have different variable features and a large amount of dependency re...
Slinger Jansen, Sjaak Brinkkemper
MSWIM
2005
ACM
13 years 11 months ago
Using statistical design of experiments for analyzing mobile ad hoc networks
The performance of mobile ad hoc networks can be influenced by numerous factors, including protocol design at every layer; parameter settings such as retransmission limits and ti...
Michael W. Totaro, Dmitri D. Perkins