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» Forgetting and Update -- an exploration
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CVPR
2008
IEEE
14 years 10 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
ICML
2007
IEEE
14 years 9 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
WWW
2007
ACM
14 years 9 months ago
Understanding web search via a learning paradigm
Investigating whether one can view Web searching as a learning process, we examined the searching characteristics of 41 participants engaged in 246 searching tasks. We classified ...
Bernard J. Jansen, Brian Keith Smith, Danielle L. ...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 9 months ago
Efficient incremental constrained clustering
Clustering with constraints is an emerging area of data mining research. However, most work assumes that the constraints are given as one large batch. In this paper we explore the...
Ian Davidson, S. S. Ravi, Martin Ester
CHI
2008
ACM
14 years 9 months ago
Collaborating to remember: a distributed cognition account of families coping with memory impairments
Individuals with cognitive deficits and their families are prime examples of collaborative "systems" that seek to perform everyday tasks together. Yet there has been lit...
Mike Wu, Jeremy P. Birnholtz, Brian Richards, Rona...