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NIPS
2004
15 years 5 months ago
Probabilistic Computation in Spiking Populations
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...
BMCBI
2004
228views more  BMCBI 2004»
15 years 3 months ago
An XML standard for the dissemination of annotated 2D gel electrophoresis data complemented with mass spectrometry results
Background: Many proteomics initiatives require a seamless bioinformatics integration of a range of analytical steps between sample collection and systems modeling immediately ass...
Romesh Stanislaus, Liu Hong Jiang, Martha Swartz, ...
TMC
2008
120views more  TMC 2008»
15 years 3 months ago
Mitigating Performance Degradation in Congested Sensor Networks
Data generated in wireless sensor networks may not all be alike: some data may be more important than others and hence may have different delivery requirements. In this paper, we a...
Raju Kumar, Riccardo Crepaldi, Hosam Rowaihy, Albe...
RECOMB
2008
Springer
16 years 4 months ago
BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes
The transcriptional regulatory sequences in metazoan genomes often consist of multiple cis-regulatory modules (CRMs). Each CRM contains locally enriched occurrences of binding site...
Tien-ho Lin, Pradipta Ray, Geir Kjetil Sandve, Sel...
CVPR
2008
IEEE
16 years 5 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji