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99
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NIPS
2004
15 years 2 months ago
Incremental Algorithms for Hierarchical Classification
We study the problem of hierarchical classification when labels corresponding to partial and/or multiple paths in the underlying taxonomy are allowed. We introduce a new hierarchi...
Nicolò Cesa-Bianchi, Claudio Gentile, Andre...
99
Voted
NIPS
2004
15 years 2 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
2004
15 years 2 months ago
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
Machine learning is often used to automatically solve human tasks. In this paper, we look for tasks where machine learning algorithms are not as good as humans with the hope of ga...
Kumar Chellapilla, Patrice Y. Simard
NIPS
2004
15 years 2 months ago
Modeling Conversational Dynamics as a Mixed-Memory Markov Process
In this work, we quantitatively investigate the ways in which a given person influences the joint turn-taking behavior in a conversation. After collecting an auditory database of ...
Tanzeem Choudhury, Sumit Basu
NIPS
2004
15 years 2 months ago
Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM
In this paper we show that it is possible to model sensory impressions of consumers about beef meat. This is not a straightforward task; the reason is that when we are aiming to i...
Juan José del Coz, Gustavo F. Bayón,...