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...
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 ...
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...
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...
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...