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103
Voted
ICML
2008
IEEE
16 years 1 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
104
Voted
ICML
2005
IEEE
16 years 1 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
89
Voted
KDD
2002
ACM
108views Data Mining» more  KDD 2002»
16 years 1 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
86
Voted
CHI
2007
ACM
16 years 1 months ago
Taking CHI for a drive: interaction in the car
With the increasing number of cars on the road, longer commutes, and the proliferation of complex information and entertainment features, there is a greater need for careful inter...
David M. Krum, Dietrich Manstetten, Clifford Nass,...
83
Voted
CHI
2003
ACM
16 years 1 months ago
Utilizing mobile devices to capture case stories for knowledge management
This study examines how the increasing number of new mobile devices that enable rich in situ information capture can be utilized to improve knowledge management practices. An ethn...
Jia Shen