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» Synthesizing Probabilistic Composers
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ICAC
2009
IEEE
14 years 3 months ago
Self-tuning BPEL processes
—The performance of BPEL processes depends on the composing web services. Monitoring web service performance and adapting to changes in service performance are essential for crea...
Adina D. Mosincat, Walter Binder
ICTAI
2009
IEEE
14 years 3 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
AIED
2009
Springer
14 years 3 months ago
Student Knowledge Diagnosis Using Item Response Theory and Constraint-Based Modeling
One of the most popular student modeling techniques currently available is Constraint Based Modeling (CBM), which is based on Ohlsson's theory of learning from performance err...
Jaime Gálvez, Eduardo Guzmán, Ricard...
HRI
2006
ACM
14 years 2 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
DFMA
2005
IEEE
152views Multimedia» more  DFMA 2005»
14 years 2 months ago
An Agent Based Meta-Model For Urban Mobility Modeling
Mobility study is composed by many research areas which one interests us : urban mobility. Urban movement study aims at looking and designing human displacements in an urban envir...
Nicolas Marilleau