Connecting Comments and Tags: Improved Modeling of Social Tagging Systems Dawei Yin† Shengbo GuoS Boris ChidlovskiiS Brian D. Davison† Cedric ArchambeauS Guillaume BouchardS †

Source URL: users.cecs.anu.edu.au

• Information
• Collective intelligence
• Collaboration
• Social information processing
• Statistical natural language processing
• Collaborative filtering
• Tag
• Recommender system
• Social bookmarking
• Statistics
• Information science
• Information retrieval

Diverse Retrieval via Greedy Optimization of Expected 1-call@k in a Latent Subtopic Relevance Model Scott Sanner NICTA & the ANU Canberra, Australia

Source URL: users.cecs.anu.edu.au

• Information
• Natural language processing
• Relevance
• Precision and recall
• Information science
• Information retrieval
• Science

On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off Kar Wai Lim Scott Sanner

Source URL: users.cecs.anu.edu.au

• Rank
• Relevance
• FO
• Q
• Knowledge
• Mathematics
• Science
• Information retrieval
• Natural language processing

Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus Sheng-Bo Guo1,2, Ying Wang 3, Xing Yan1,2, Longnian Lin 3, Joe Tsien3,4, and De-Shuang Huang1,2 1

Source URL: users.cecs.anu.edu.au

• Cerebrum
• Detrended fluctuation analysis
• Time series analysis
• G factor
• Inter-Services Intelligence
• Interneuron
• Hippocampus
• Random walk
• Statistics
• Stochastic processes
• Brain

Sparse Bayesian Multi-Task Learning C´edric Archambeau, Shengbo Guo, Onno Zoeter Xerox Research Centre Europe {Cedric.Archambeau, Shengbo.Guo, Onno.Zoeter}@xrce.xerox.com

Source URL: users.cecs.anu.edu.au

• Normal distribution
• Expectation–maximization algorithm
• Multivariate normal distribution
• Principal component analysis
• Wishart distribution
• Linear regression
• Symbol
• Conjugate prior
• Statistics
• Estimation theory
• Multivariate statistics

Xinhua Zhang NICTA Endorsed PhD student Australian National University Postal Address (currently visiting): Dept. of Statistics, Purdue Univ. W. Lafayette, IN, USA

Source URL: users.cecs.anu.edu.au

• International Conference on Machine Learning
• Conference on Neural Information Processing Systems
• NICTA
• Andrew McCallum
• Semi-supervised learning
• Shanghai Jiao Tong University
• Supervised learning
• Australian National University
• Kernel methods
• Machine learning
• Artificial intelligence
• Learning

Message Passing Formula in Gaussian MRF Xinhua Zhang October 15, 2007 We basically explain (and point out a typo in) Eqto 2.20 in Yair Weiss and William T. Freeman, “Correctness of Belief Propagation in Gaussian

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Living Longer Living Stronger™ 2-day Instructor Training Join the LLLS™ Team! Are you looking for a Fitness Australia registered training course which gives you 10 CECs? Do you enjoy working with clients to improve t

Source URL: www.cotawa.org.au

• Strength training
• Health club
• Physical therapy
• Medicine
• Health
• Exercise

Max-margin Methods Notation Notation Example images (v1T, v2T,…,v5T)T, where

Source URL: users.cecs.anu.edu.au

• Machine learning
• Support vector machines
• Information theory
• Differential geometry
• Least squares support vector machine
• Statistics
• Statistical classification
• Hinge loss

Loss-calibrated Monte Carlo Action Selection Ehsan Abbasnejad Justin Domke NICTA & ANU

Source URL: users.cecs.anu.edu.au

• Statistical inference
• Monte Carlo methods
• Bayes estimator
• Bayesian inference
• Estimator
• Metropolis–Hastings algorithm
• Importance sampling
• Bias of an estimator
• Loss function
• Statistics
• Estimation theory
• Statistical theory