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AIPS
2006
15 years 4 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
ACL
2012
13 years 5 months ago
Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on ...
Preslav Nakov, Jörg Tiedemann
COMPGEOM
1995
ACM
15 years 6 months ago
Representation and Computation of Boolean Combinations of Sculptured Models
We outline an algorithm and implementation of a system that computes Boolean combinations of sculptured solids. We represent the surface of the solids in terms of trimmed and untr...
Shankar Krishnan, Atul Narkhede, Dinesh Manocha
NLDB
2007
Springer
15 years 9 months ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...
MVA
1994
224views Computer Vision» more  MVA 1994»
15 years 4 months ago
3D Object Model Fitting to Still Images Using Linear Combination Method of 2D Aspect Images
This paper describes a method for fitting 3D object model to still (single) 2D observed image by searching for the model's optimum posture parameters in the parameter space t...
Hiroyasu Sakamoto, Masahide Kawakami