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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 ...
SIGIR 2012 - August 2012
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 ...
HIC 2012, Australia’s Health Informatics Conference - July 2012
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 ...
Conference on Artificial Intelligence (AAAI) - July 2012
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 ...
Conference on Artificial Intelligence (AAAI) - July 2012
Coles Amanda, Coles Andrew, Angel Garcia Olaya, Sergio Jimenez, Carlos Linares Lopez, Scott Sanner, Sungwook Yoon
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: ...
AI Magazine - June 2012
Joseph Noel, Scott Sanner, Khoi-Nguyen Tran, Peter Christen, Lexing Xie, Edwin Bonilla, Ehsan Abbasnejad, Nic Della Penna
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...
International World Wide Web Conference (WWW) - April 2012
Marcela Zuluaga, Edwin Bonilla, Nigel Topham
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 ...
Design, Automation and Test in Europe - March 2012
Arthur Asuncion, David Newman, Ian Porteous, Max Welling, Padhraic Smyth, Scott Triglia
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), ...
Machine Learning on Very Large Data Sets - March 2012
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 ...
ARXIV - February 2012
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...
IEEE Workshop on the Applications of Computer Vision - January 2012