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SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
15 years 5 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
126
Voted
NIPS
2003
15 years 5 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih
NIPS
2003
15 years 5 months ago
Online Passive-Aggressive Algorithms
We present a family of margin based online learning algorithms for various prediction tasks. In particular we derive and analyze algorithms for binary and multiclass categorizatio...
Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yor...
AAAI
1994
15 years 5 months ago
Applying VC-Dimension Analysis To 3D Object Recognition from Perspective Projections
We analyze the amount of information needed to carry out model-based recognition tasks, in the context of a probabilistic data collection model, and independently of the recogniti...
Michael Lindenbaum, Shai Ben-David
NIPS
1994
15 years 5 months ago
Combining Estimators Using Non-Constant Weighting Functions
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
Volker Tresp, Michiaki Taniguchi