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...
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...
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 ...
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...
: 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...