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ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
14 years 2 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
NAR
2008
73views more  NAR 2008»
13 years 8 months ago
LocalMove: computing on-lattice fits for biopolymers
Given an input Protein Data Bank file (PDB) for a protein or RNA molecule, LocalMove is a web server that determines an on-lattice representation for the input biomolecule. The we...
Yann Ponty, R. Istrate, E. Porcelli, Peter Clote
IDEAL
2005
Springer
14 years 2 months ago
Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
Promiscuous human leukocyte antigen (HLA) binding peptides are ideal targets for vaccine development. Existing computational models for prediction of promiscuous peptides used hidd...
Ivana Bozic, Guanglan Zhang, Vladimir Brusic
NIPS
2004
13 years 10 months ago
Harmonising Chorales by Probabilistic Inference
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Moray Allan, Christopher K. I. Williams
ACL
1998
13 years 10 months ago
Improving Data Driven Wordclass Tagging by System Combination
In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the b...
Hans van Halteren, Jakub Zavrel, Walter Daelemans