A procedure founded in instance-based learning is presented, for performing a form of analogical reasoning on knowledge bases expressed in a wide range of ontology languages. The p...
Surveys and opinion polls are extremely popular in the media, especially in the months preceding a general election. However, the available tools for analyzing poll results often r...
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Montele...
Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
This paper describes the participation of UAIC team at the LogCLEF 2011 initiative, language identification task. Our approach is an aggregation of known methods for recognizing la...