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ICASSP
2011
IEEE
13 years 24 days 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...
MIDDLEWARE
2007
Springer
14 years 3 months ago
Interactive Resource-Intensive Applications Made Easy
Snowbird is a middleware system based on virtual machine (VM) technology that simplifies the development and deployment of bimodal applications. Such applications alternate betwee...
H. Andrés Lagar-Cavilla, Niraj Tolia, Eyal ...
UMUAI
1998
157views more  UMUAI 1998»
13 years 8 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
BMCBI
2006
112views more  BMCBI 2006»
13 years 9 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...
IPSN
2010
Springer
14 years 1 months ago
Practical modeling and prediction of radio coverage of indoor sensor networks
The robust operation of many sensor network applications depends on deploying relays to ensure wireless coverage. Radio mapping aims to predict network coverage based on a small n...
Octav Chipara, Gregory Hackmann, Chenyang Lu, Will...