Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
Can engaging students in free and open source software (FOSS) pique their interest in computer science? This paper describes an introductory computer science course that introduce...
Entering search terms on mobile phones is a time consuming and cumbersome task. In this paper, we explore the usage patterns of query entry interfaces that display suggestions. Ou...
This paper investigates emergent practices around `microblogging', changing and sharing status within a social group. We present results from a trial of `Connecto', a ph...
Louise Barkhuus, Barry Brown, Marek Bell, Scott Sh...