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» The Feature Subspace Method for SMT System Combination
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SCP
2010
108views more  SCP 2010»
15 years 1 months ago
Combining dynamic and static slicing for analysing assembler
One of the most challenging tasks a programmer can face is attempting to analyse and understand a legacy assembler system. Many features of assembler make analysis difficult, and ...
Martin P. Ward, Hussein Zedan
CORR
2010
Springer
204views Education» more  CORR 2010»
15 years 2 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon
WORDS
2002
IEEE
15 years 8 months ago
Deriving Interaction-Prone Scenarios in Feature Interaction Filtering with Use Case Maps
Feature interactions (FIs, in short) occur when features of different communication services interfere with each other. The FI filtering is a pre-processing before the FI detecti...
Masahide Nakamura, Pattara Leelaprute, Tohru Kikun...
ICIP
2006
IEEE
16 years 5 months ago
Robust Object Detection using Fast Feature Selection from Huge Feature Sets
This paper describes an efficient feature selection method that quickly selects a small subset out of a given huge feature set; for building robust object detection systems. In th...
Duy-Dinh Le, Shin'ichi Satoh
138
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ITS
2004
Springer
124views Multimedia» more  ITS 2004»
15 years 8 months ago
Combining Competing Language Understanding Approaches in an Intelligent Tutoring System
When implementing a tutoring system that attempts a deep understanding of students’ natural language explanations, there are three basic approaches to choose between; symbolic, i...
Pamela W. Jordan, Maxim Makatchev, Kurt VanLehn