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NIPS
2004
13 years 8 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
BMCBI
2007
219views more  BMCBI 2007»
13 years 7 months ago
MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments
Background: Integration of multiple results from Quantitative Trait Loci (QTL) studies is a key point to understand the genetic determinism of complex traits. Up to now many effor...
Jean-Baptiste Veyrieras, Bruno Goffinet, Alain Cha...
BMCBI
2010
130views more  BMCBI 2010»
13 years 7 months ago
Knowledge-guided gene ranking by coordinative component analysis
Background: In cancer, gene networks and pathways often exhibit dynamic behavior, particularly during the process of carcinogenesis. Thus, it is important to prioritize those gene...
Chen Wang, Jianhua Xuan, Huai Li, Yue Wang, Ming Z...
MOBIHOC
2003
ACM
14 years 7 months ago
Connected sensor cover: self-organization of sensor networks for efficient query execution
Spatial query execution is an essential functionality of a sensor network, where a query gathers sensor data within a specific geographic region. Redundancy within a sensor networ...
Himanshu Gupta, Samir R. Das, Quinyi Gu
ITC
1998
IEEE
120views Hardware» more  ITC 1998»
13 years 11 months ago
Test generation in VLSI circuits for crosstalk noise
This paper addresses the problem of efficiently and accurately generating two-vector tests for crosstalk induced effects, such as pulses, signal speedup and slowdown, in digital c...
Weiyu Chen, Sandeep K. Gupta, Melvin A. Breuer