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KDD
2012
ACM
238views Data Mining» more  KDD 2012»
11 years 11 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
ICPP
2006
IEEE
14 years 3 months ago
A PROactive Request Distribution (PRORD) Using Web Log Mining in a Cluster-Based Web Server
Widely adopted distributor-based systems forward user requests to a balanced set of waiting servers in complete transparency to the users. The policy employed in forwarding reques...
Heung Ki Lee, Gopinath Vageesan, Ki Hwan Yum, Eun ...
CORR
2011
Springer
151views Education» more  CORR 2011»
13 years 4 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
COLING
2008
13 years 10 months ago
The Choice of Features for Classification of Verbs in Biomedical Texts
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
Anna Korhonen, Yuval Krymolowski, Nigel Collier
SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
14 years 2 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...