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FLAIRS
2008
15 years 7 months ago
Small Models of Large Machines
In this paper, we model large support vector machines (SVMs) by smaller networks in order to decrease the computational cost. The key idea is to generate additional training patte...
Pramod Lakshmi Narasimha, Sanjeev S. Malalur, Mich...
LREC
2008
104views Education» more  LREC 2008»
15 years 6 months ago
Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers
The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a ...
Lukasz Degórski, Michal Marcinczuk, Adam Pr...
ANLP
2000
71views more  ANLP 2000»
15 years 6 months ago
Rapid Parser Development: A Machine Learning Approach for Korean
This paper demonstrates that machine learning is a suitable approach for rapid parser development. From 1000 newly treebanked Korean sentences we generate a deterministic shift-re...
Ulf Hermjakob
ASPLOS
1987
ACM
15 years 8 months ago
Machine-Independent Virtual Memory Management for Paged Uniprocessor and Multiprocessor Architectures
This paper describes the design and implementation of virtual memory management within the CMU Mach Operating System and the experiences gained by the Mach kernel group in porting...
Richard F. Rashid, Avadis Tevanian, Michael Young,...
CC
2008
Springer
111views System Software» more  CC 2008»
15 years 7 months ago
A System for Generating Static Analyzers for Machine Instructions
This paper describes the design and implementation of a language for specifying the semantics of an instruction set, along with a run-time system to support the static analysis of ...
Junghee Lim, Thomas W. Reps