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By Year By Research Group | On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off It has been previously noted that optimization of the ncall@k relevance objective (i.e., a set-based objective that is 1 if at least n documents in a set of k are relevant, otherwise 0) encourages more result set diversification for smaller n, but ... Introduction. We discuss three initiatives from the NICTA eHealth Business Team towards developing ICT techniques for improving healthcare via: 1. capturing more clinical data; 2. converting them to processable information; 3. recording this as ... Probabilistic reasoning in the real-world often requires inference in continuous variable graphical models, yet there are few methods for \emph{exact, closed-form} inference when joint distributions are non-Gaussian. To address this inferential ... Many real-world decision-theoretic planning problems are naturally modeled using both continuous state and action (CSA) spaces, yet little work has provided exact solutions for the case of continuous actions. In this work, we propose a symbolic ... In this article we review the 2011 International Planning Competition. We give an overview of the history of the competition, discussing how it has developed since its first edition in 1998. The 2011 competition was run in three main separate tracks: ... This paper examines the problem of social collaborative filtering (CF) to recommend items of interest to users in a social network setting. Unlike standard CF algorithms using relatively simple user and item features, recommendation in social networks... Given the high level description of a task, many different hardware modules may be generated while meeting its behavioral requirements. The characteristics of the generated hardware can be tailored to favor energy efficiency, performance, accuracy or die ... We begin with a brief review of Bayesian latent variable models such as Latent Dirichlet Allocation and Hierarchical Dirichlet Processes. We then extend the discussion to the more general case of directed graphical models (or Bayesian networks), ... The two parameter Poisson-Dirichlet Process (PDP), a generalisation of the Dirichlet Process, is increasingly being used for probabilistic modelling in discrete areas such as language technology, bioinformatics, and image analysis. There is a rich ... Multiple instance learning (MIL) which introduces label ambiguity by applying bag concept obtains increasing attentions in computer vision community. Due to its flexible labeling mechanism, MIL can be naturally utilized on a variety of computer vision... |