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» Formal Concepts of Learning Systems Validation in Use
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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
ACL
2000
15 years 7 months ago
Diagnostic Processing of Japanese for Computer-Assisted Second Language Learning
As an application of NLP to computer-assisted language learning(CALL) , we propose a diagnostic processing of Japanese being able to detect errors and inappropriateness of sentenc...
Jun'ichi Kakegawa, Hisayuki Kanda, Eitaro Fujioka,...
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 10 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
DATE
2004
IEEE
134views Hardware» more  DATE 2004»
15 years 10 months ago
Context-Aware Performance Analysis for Efficient Embedded System Design
Performance analysis has many advantages in theory compared to simulation for the validation of complex embedded systems, but is rarely used in practice. To make analysis more att...
Marek Jersak, Rafik Henia, Rolf Ernst
ICOST
2007
Springer
16 years 16 days ago
Characterizing Safety of Integrated Services in Home Network System
This paper formalizes three kinds of safety to be satisfied by networked appliances and services in the emerging home network system (HNS). The local safety is defined by safety ...
Ben Yan, Masahide Nakamura, Lydie du Bousquet, Ken...