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PR
2007
104views more  PR 2007»
15 years 3 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
136
Voted
ECTEL
2006
Springer
15 years 7 months ago
Blended Learning Concepts - a Short Overview
This paper presents a short overview of blended learning, showing arguments for and against these concepts. Potential blended learning scenarios are described that vary depending o...
Sonja Trapp
EMNLP
2009
15 years 1 months ago
Synchronous Tree Adjoining Machine Translation
Tree Adjoining Grammars have well-known advantages, but are typically considered too difficult for practical systems. We demonstrate that, when done right, adjoining improves tran...
Steve DeNeefe, Kevin Knight
ICALT
2003
IEEE
15 years 9 months ago
Mobile Learning: A New Paradigm in Electronic Learning
As mobile phone becomes popular in the society and many people can afford the cost, the demand of mobility is extended to teaching and learning purposes. One recent and significan...
Chi-Hong Leung, Yuen-Yan Chan
SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
15 years 5 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley