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ICML
2010
IEEE
15 years 8 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
IJIS
2008
83views more  IJIS 2008»
15 years 6 months ago
An algorithm for modelling key terms
The ability to analyse and represent formally semantic relations of terms is a core issue in information retrieval (IR), natural language processing (NLP), and in many related are...
D. Cai, C. J. van Rijsbergen
JSS
2006
58views more  JSS 2006»
15 years 6 months ago
A semantic-based P2P resource organization model R-Chord
This paper proposes a semantic-based P2P resource organization model R-Chord by incorporating the Resource Space Model (RSM), the P2P Semantic Link Network Model (P2PSLN) and the ...
Jie Liu, Hai Zhuge
ML
2006
ACM
15 years 6 months ago
Using duration models to reduce fragmentation in audio segmentation
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
Samer A. Abdallah, Mark B. Sandler, Christophe Rho...
NCA
2006
IEEE
15 years 6 months ago
Neural network modelling of word production in Finnish: coding semantic and non-semantic features
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
Antti Järvelin, Martti Juhola, Matti Laine