Sciweavers

IMECS
2007
13 years 9 months ago
Pseudo-Reverse Approach in Genetic Evolution: An Empirical Study with Enzymes
— A pseudo-reverse approach is presented in this paper to analyze the evolutionary behaviour of enzymes. It employs the standard model of Nei and Gojobori [1] in a generalized fo...
Sukanya Manna, Cheng-Yuan Liou
ICMLA
2008
13 years 9 months ago
A Predictive Model for Imitation Learning in Partially Observable Environments
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
Abdeslam Boularias
ICMLA
2008
13 years 9 months ago
Estimation of Exercise Energy Expenditure Using a Wrist-Worn Accelerometer: A Linear Mixed Model Approach with Fixed-Effect Vari
This article presents an approach to estimating exercise energy expenditure based on acceleration measurements from a wrist-worn biaxial sensor. The method uses the linear mixed m...
Eija Haapalainen, Perttu Laurinen, Juha Rönin...
HCI
2007
13 years 9 months ago
Learning Topologies of Situated Public Displays by Observing Implicit User Interactions
In this paper we present a procedure to learn a topological model of Situated Public Displays from data of people traveling between these displays. This model encompasses the dista...
Hans Jörg Müller, Antonio Krüger
IADIS
2008
13 years 9 months ago
e-Learning Courseware Effort Estimate Model
This paper presents an improved software estimation model, which uses to estimate developing effort of e-Learning's contents. This model is called the e-Learning courseware E...
Vajirasak Vanijja, Athitha Chokananratana
ESANN
2008
13 years 9 months ago
Computational model for amygdala neural networks
We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments...
Jean Marc Salotti
ESANN
2008
13 years 9 months ago
Computationally Efficient Neural Field Dynamics
We propose a modification of the dynamic neural field model of Amari [1], aiming at reducing the simulation effort by employing spaceand frequency representations of the dynamic st...
Alexander Gepperth, Jannik Fritsch, Christian Goer...
EMNLP
2008
13 years 9 months ago
Unsupervised Models for Coreference Resolution
We present a generative model for unsupervised coreference resolution that views coreference as an EM clustering process. For comparison purposes, we revisit Haghighi and Klein�...
Vincent Ng
EJC
2008
13 years 9 months ago
Managing Co-reference Knowledge for Data Integration
This paper presents a novel model of co-reference knowledge, which is based on the distinction of (i) a model of a common reality, (ii) a model of an agent's opinion about rea...
Carlo Meghini, Martin Doerr, Nicolas Spyratos
ESANN
2007
13 years 9 months ago
Visualisation of tree-structured data through generative probabilistic modelling
We present a generative probabilistic model for the topographic mapping of tree structured data. The model is formulated as constrained mixture of hidden Markov tree models. A nat...
Nikolaos Gianniotis, Peter Tino