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TSE
2010
140views more  TSE 2010»
13 years 7 months ago
Learning a Metric for Code Readability
—In this paper, we explore the concept of code readability and investigate its relation to software quality. With data collected from 120 human annotators, we derive associations...
Raymond P. L. Buse, Westley Weimer
JIDM
2010
90views more  JIDM 2010»
13 years 3 months ago
A Context-Dependent Supervised Learning Approach to Sentiment Detection in Large Textual Databases
Sentiment detection automatically identifies emotions in textual data. The increasing amount of emotive documents available in corporate databases and on the World Wide Web calls f...
Albert Weichselbraun, Stefan Gindl, Arno Scharl
ILP
2004
Springer
14 years 2 months ago
Improving Rule Evaluation Using Multitask Learning
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
Mark D. Reid
ICCV
1999
IEEE
14 years 11 months ago
Learning-based Object Detection in Cardiac MR Images
An automated method for left ventricle detection in MR cardiac images is presented. Ventricle detection is the rst step in a fully automated segmentation system used to compute vo...
Nicolae Duta, Anil K. Jain, Marie-Pierre Dubuisson...
IJCNN
2007
IEEE
14 years 3 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot