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BMCBI
2005
189views more  BMCBI 2005»
13 years 7 months ago
Quantitative inference of dynamic regulatory pathways via microarray data
Background: The cellular signaling pathway (network) is one of the main topics of organismic investigations. The intracellular interactions between genes in a signaling pathway ar...
Wen-Chieh Chang, Chang-Wei Li, Bor-Sen Chen
NIPS
2004
13 years 9 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
CORR
2004
Springer
133views Education» more  CORR 2004»
13 years 7 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
HICSS
2002
IEEE
92views Biometrics» more  HICSS 2002»
14 years 16 days ago
Student Model of Historical Text Comprehension
: In this contribution we present a Learner Model (LM) of Historical Text Comprehension (HTC), which infers the cognitive profile of learner’s global comprehension concerning the...
Grammatiki Tsaganou, Maria Grigoriadou, Theodora C...
INFOCOM
2005
IEEE
14 years 1 months ago
Bayesian packet loss detection for TCP
— One of TCP’s critical tasks is to determine which packets are lost in the network, as a basis for control actions (flow control and packet retransmission). Modern TCP implem...
Nahur Fonseca, Mark Crovella