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JMLR
2012
13 years 6 months ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli
CCE
2007
15 years 3 months ago
Adaptive optimisation of noisy black-box functions inherent in microscopic models
For systems where exact constitutive relations are unknown, a microscopic level description can be alternatively used. As microscopic simulations are computationally expensive, th...
Eddie Davis, Marianthi G. Ierapetritou
AI
2006
Springer
15 years 3 months ago
Generating and evaluating evaluative arguments
Evaluative arguments are pervasive in natural human communication. In countless situations people attempt to advise or persuade their interlocutors that something is desirable (vs...
Giuseppe Carenini, Johanna D. Moore
FLAIRS
2008
15 years 5 months ago
Feeder Setup Optimization in SMT Assembly
This paper describes an algorithm developed as a decision support system for SMT line operators and its purpose is to suggest changes in an existing feeder setup in order to impro...
Jan Kelbel, Zdenek Hanzálek
IIE
2006
87views more  IIE 2006»
15 years 3 months ago
Some Ways to Improve Olympiads in Informatics
The paper describes some possible ways how to improve Olympiads in Informatics. Tasks in Olympiads are small models of programming tasks in software industry and in the limited amo...
Martins Opmanis