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ACL
2010
15 years 2 months ago
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
Michael Bloodgood, Chris Callison-Burch
DATAMINE
2002
125views more  DATAMINE 2002»
15 years 3 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
IMSCCS
2006
IEEE
15 years 10 months ago
Parallel Multicategory Support Vector Machines (PMC-SVM) for Classifying Microcarray Data
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
134
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ASM
2008
ASM
15 years 6 months ago
Using EventB to Create a Virtual Machine Instruction Set Architecture
A Virtual Machine (VM) is a program running on a conventional microprocessor that emulates the binary instruction set, registers, and memory space of an idealized computing machine...
Stephen Wright
112
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ECTEL
2006
Springer
15 years 7 months ago
Context-Aware Workplace Learning Support: Concept, Experiences, and Remaining Challenges
Workplace learning offers the unique possibility of the immediacy of purpose and real-world context. In order to leverage on this, we have developed a context-aware method to suppo...
Andreas Schmidt, Simone Braun