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» Evaluating Significance of Inconsistencies
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ICML
2000
IEEE
16 years 7 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
SIGSOFT
2009
ACM
16 years 7 months ago
Learning from examples to improve code completion systems
The suggestions made by current IDE's code completion features are based exclusively on static type system of the programming language. As a result, often proposals are made ...
Marcel Bruch, Martin Monperrus, Mira Mezini
WWW
2005
ACM
16 years 7 months ago
Comparing relevance feedback algorithms for web search
We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimen...
Vishwa Vinay, Kenneth R. Wood, Natasa Milic-Frayli...
WWW
2001
ACM
16 years 7 months ago
Learning search engine specific query transformations for question answering
We introduce a method for learning query transformations that improves the ability to retrieve answers to questions from an information retrieval system. During the training stage...
Eugene Agichtein, Steve Lawrence, Luis Gravano
CHI
2009
ACM
16 years 7 months ago
Auditory icon and earcon mobile service notifications: intuitiveness, learnability, memorability and preference
With an ever increasing number of mobile services, meaningful audio notifications could effectively inform users of the incoming services while minimising undesired and intrusive ...
Stavros Garzonis, Simon Jones, Tim Jay, Eamonn O'N...