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» Abduction in Classification Tasks
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NIPS
2004
13 years 10 months ago
Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
NIPS
2001
13 years 10 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
NIPS
2001
13 years 10 months ago
The Fidelity of Local Ordinal Encoding
A key question in neuroscience is how to encode sensory stimuli such as images and sounds. Motivated by studies of response properties of neurons in the early cortical areas, we p...
Javid Sadr, Sayan Mukherjee, K. Thoresz, Pawan Sin...
IJCAI
2003
13 years 10 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
BMVC
1998
13 years 10 months ago
Writer Identification from Non-uniformly Skewed Handwriting Images
Many techniques have been reported for handwriting-based writer identification. Most such techniques assume that the written text is fixed (e.g., in signature verification). In th...
H. E. S. Said, G. S. Peake, T. N. Tan, Keith D. Ba...