Sciweavers

3885 search results - page 102 / 777
» Clarifying Goal Models
Sort
View
ANSS
2006
IEEE
15 years 10 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
COLING
1996
15 years 5 months ago
HMM-Based Word Alignment in Statistical Translation
In this paper, we describe a new model for word alignment in statistical translation and present experimental results. The idea of the model is to make the alignment probabilities...
Stephan Vogel, Hermann Ney, Christoph Tillmann
PAMI
2006
143views more  PAMI 2006»
15 years 4 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
CAISE
1999
Springer
15 years 8 months ago
A Multi-variant Approach to Software Process Modelling
: In this article we present a new approach to software process modelling for a large banking organisation. In the past years, the main software development methods and tools of th...
Wolfgang Hesse, Jörg Noack
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 8 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule