Sciweavers

IMECS
2007
14 years 29 days 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
14 years 29 days 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
14 years 29 days 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
14 years 29 days 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
14 years 29 days 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
14 years 29 days 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
14 years 29 days 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
14 years 29 days 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
14 years 29 days 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
14 years 29 days 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