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ICML
1994
IEEE
15 years 9 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
CSB
2005
IEEE
165views Bioinformatics» more  CSB 2005»
15 years 8 months ago
Sequential Diagonal Linear Discriminant Analysis (SeqDLDA) for Microarray Classification and Gene Identification
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
Roger Pique-Regi, Antonio Ortega, Shahab Asgharzad...
IJCAI
2007
15 years 7 months ago
A Decision-Theoretic Model of Assistance
There is a growing interest in intelligent assistants for a variety of applications from organizing tasks for knowledge workers to helping people with dementia. In this paper, we ...
Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasa...
TFCV
1994
15 years 7 months ago
Attentive Visual Motion Processing: Computations in the Log-Polar Plane
Attentive vision is characterized by selective sensing in space and time as well as selective processing with respect to a speci c task. Selection in space involves the splitting ...
Konstantinos Daniilidis
ATAL
2010
Springer
15 years 7 months ago
Role evolution in Open Multi-Agent Systems as an information source for trust
In Open Multi-Agent Systems (OMAS), deciding with whom to interact is a particularly difficult task for an agent, as repeated interactions with the same agents are scarce, and rep...
Ramón Hermoso, Holger Billhardt, Sascha Oss...