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» Using Machine Learning to Focus Iterative Optimization
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118
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IJCAI
2007
15 years 4 months ago
Ensembles of Partially Trained SVMs with Multiplicative Updates
The training of support vector machines (SVM) involves a quadratic programming problem, which is often optimized by a complicated numerical solver. In this paper, we propose a muc...
Ivor W. Tsang, James T. Kwok
NAACL
2010
15 years 14 days ago
From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing
We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
130
Voted
FPGA
1999
ACM
142views FPGA» more  FPGA 1999»
15 years 6 months ago
Multi-Terminal Net Routing for Partial Crossbar-Based Multi-FPGA Systems
Multi-FPGA systems are used as custom computing machines to solve compute intensive problems and also in the verification and prototyping of large circuits. In this paper, we addr...
Abdel Ejnioui, N. Ranganathan
CICLING
2004
Springer
15 years 6 months ago
Extracting Domain Knowledge for Dialogue Model Adaptation
Domain shift is a challenging issue in dialogue management. This paper shows how to extract domain knowledge for dialogue model adaptation. The basic semantic concepts are derived ...
Kuei-Kuang Lin, Hsin-Hsi Chen
120
Voted
FSS
2007
117views more  FSS 2007»
15 years 2 months ago
Multiple regression with fuzzy data
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...