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» Learning Behavior Models for Hybrid Timed Systems
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IAT
2010
IEEE
15 years 2 months ago
Design and Evaluation of Explainable BDI Agents
It is widely acknowledged that providing explanations is an important capability of intelligent systems. Explanation capabilities are useful, for example, in scenario-based traini...
Maaike Harbers, Karel van den Bosch, John-Jules Ch...
ICCV
2011
IEEE
14 years 4 months ago
Strong Supervision From Weak Annotation: Interactive Training of Deformable Part Models
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
Steven Branson, Pietro Perona, Serge Belongie
NIPS
1993
15 years 5 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
SIGMETRICS
2003
ACM
15 years 9 months ago
Fluid models and solutions for large-scale IP networks
In this paper we present a scalable model of a network of Active Queue Management (AQM) routers serving a large population of TCP flows. We present efficient solution techniques...
Yong Liu, Francesco Lo Presti, Vishal Misra, Donal...
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 5 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya