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ICML
2000
IEEE
16 years 7 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
SIGSOFT
2005
ACM
16 years 7 months ago
Surveying the factors that influence maintainability: research design
We want to explore and analyse design decisions that influence maintainability of software. Software maintainability is important because the effort expended on changes and fixes ...
Wiebe Hordijk, Roel Wieringa
WWW
2001
ACM
16 years 7 months ago
A Logic-based Framework for Mobile Intelligent Information Agents
Information agents are computational software systems that provides transparent access to many different information sources in the Internet, and to be able to retrieve, analyze, ...
Naoki Fukuta, Takayuki Ito, Toramatsu Shintani
CHI
2009
ACM
16 years 7 months ago
Predicting shoppers' interest from social interactions using sociometric sensors
Marketing research has longed for better ways to measure consumer behavior. In this paper, we explore using sociometric data to study social behaviors of group shoppers. We hypoth...
James Begole, Maurice Chu, Oliver Brdiczka, Taemie...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 6 months ago
Turning CARTwheels: an alternating algorithm for mining redescriptions
We present an unusual algorithm involving classification trees-CARTwheels--where two trees are grown in opposite directions so that they are joined at their leaves. This approach ...
Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malco...