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AAAI
1998
15 years 8 months ago
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Justin A. Boyan, Andrew W. Moore
ACL
1998
15 years 8 months ago
General-to-Specific Model Selection for Subcategorization Preference
This paper proposes a novel method for learning probability models of subcategorization preference of verbs. We consider the issues of case dependencies and noun class generalizat...
Takehito Utsuro, Takashi Miyata, Yuji Matsumoto
COLING
2000
15 years 8 months ago
Application of Analogical Modelling to Example Based Machine Translation
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
Christos Malavazosi, Stelios Piperidis
VMV
2000
146views Visualization» more  VMV 2000»
15 years 8 months ago
Efficient Importance Sampling Techniques for the Photon Map
In global illumination computations the photon map is a powerful tool for approximating the irradiance, which is stored independent from scene geometry. By presenting a new algori...
Alexander Keller, Ingo Wald
184
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AAAI
1990
15 years 8 months ago
What Should Be Minimized in a Decision Tree?
In this paper, we address the issue of evaluating decision trees generated from training examples by a learning algorithm. We give a set of performance measures and show how some ...
Usama M. Fayyad, Keki B. Irani
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