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BMCBI
2007
154views more  BMCBI 2007»
15 years 2 months ago
Classification of heterogeneous microarray data by maximum entropy kernel
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
Wataru Fujibuchi, Tsuyoshi Kato
SIGSOFT
2007
ACM
16 years 2 months ago
Programming asynchronous layers with CLARITY
Asynchronous systems components are hard to write, hard to reason about, and (not coincidentally) hard to mechanically verify. In order to achieve high performance, asynchronous c...
Prakash Chandrasekaran, Christopher L. Conway, Jos...
UAI
2003
15 years 3 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
ICASSP
2011
IEEE
14 years 5 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
BMCBI
2006
108views more  BMCBI 2006»
15 years 2 months ago
Probe set algorithms: is there a rational best bet?
Affymetrix microarrays have become a standard experimental platform for studies of mRNA expression profiling. Their success is due, in part, to the multiple oligonucleotide featur...
Jinwook Seo, Eric P. Hoffman