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» The Localization Hypothesis and Machines
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PLDI
1995
ACM
14 years 1 months ago
Unifying Data and Control Transformations for Distributed Shared Memory Machines
We present a unified approach to locality optimization that employs both data and control transformations. Data transformations include changing the array layout in memory. Contr...
Michal Cierniak, Wei Li
JGO
2010
117views more  JGO 2010»
13 years 8 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
ICPR
2004
IEEE
14 years 11 months ago
Discrimination of Machine-Printed from Handwritten Text Using Simple Structural Characteristics
In this paper, we present a trainable approach to discriminate between machine-printed and handwritten text. An integrated system able to localize text areas and split them in tex...
Efstathios Stamatatos, Ergina Kavallieratou
ESANN
2007
13 years 11 months ago
Interval discriminant analysis using support vector machines
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
Cecilio Angulo, Davide Anguita, Luis Gonzál...
ITS
2010
Springer
171views Multimedia» more  ITS 2010»
14 years 2 months ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Wenting Xiong, Diane J. Litman