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JMLR
2011
192views more  JMLR 2011»
15 years 19 hour ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
SI3D
2006
ACM
15 years 11 months ago
Human motion estimation from a reduced marker set
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
Guodong Liu, Jingdan Zhang, Wei Wang 0010, Leonard...
ATAL
2005
Springer
15 years 10 months ago
Multi-agent decision support via user-modeling
Decision-support requires the gathering and presentation of information, but is subject to many kinds of resource restrictions (e.g. cost, length, time). Individual users differ n...
Terrence Harvey, Keith S. Decker, Sandra Carberry
ICS
2005
Tsinghua U.
15 years 10 months ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
141
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IJMMS
2008
80views more  IJMMS 2008»
15 years 5 months ago
Real-time classification of evoked emotions using facial feature tracking and physiological responses
We present automated, real-time models built with machine learning algorithms which use videotapes of subjects' faces in conjunction with physiological measurements to predic...
Jeremy N. Bailenson, Emmanuel D. Pontikakis, Iris ...