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» An fMRI Activation Method Using Complex Data
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PR
2011
14 years 5 months ago
Detecting and discriminating behavioural anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempo...
Chen Change Loy, Tao Xiang, Shaogang Gong
104
Voted
BIBE
2007
IEEE
121views Bioinformatics» more  BIBE 2007»
15 years 9 months ago
Identifying Genomic Regulators of Set-Wise Co-Expression
The genetical genomics approach has been used to study the genetic basis of variation in gene expression, where putative transcriptional regulators of genes are identified via gene...
Jung Hoon Woo, Tian Zheng, Ju Han Kim
BMCBI
2006
195views more  BMCBI 2006»
15 years 3 months ago
Hubs of knowledge: using the functional link structure in Biozon to mine for biologically significant entities
Background: Existing biological databases support a variety of queries such as keyword or definition search. However, they do not provide any measure of relevance for the instance...
Paul Shafer, Timothy Isganitis, Golan Yona
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 9 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
ICML
2009
IEEE
16 years 3 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng