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AUSDM
2008
Springer
229views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning
Growing up is in large measure learning about the world and our social and linguistic environment. We might call this data mining, although it is far more multimodal and immersive...
David M. W. Powers
AAAI
2010
15 years 5 months ago
Exploiting Monotonicity in Interval Constraint Propagation
We propose in this paper a new interval constraint propagation algorithm, called MOnotonic Hull Consistency (Mohc), that exploits monotonicity of functions. The propagation is sta...
Ignacio Araya, Gilles Trombettoni, Bertrand Neveu
AAAI
2006
15 years 5 months ago
Robust Support Vector Machine Training via Convex Outlier Ablation
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
Linli Xu, Koby Crammer, Dale Schuurmans
EMNLP
2004
15 years 5 months ago
Max-Margin Parsing
We present a novel discriminative approach to parsing inspired by the large-margin criterion underlying support vector machines. Our formulation uses a factorization analogous to ...
Ben Taskar, Dan Klein, Mike Collins, Daphne Koller...
DAGSTUHL
2003
15 years 5 months ago
Logical Languages for Data Mining
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
Fosca Giannotti, Giuseppe Manco, Jef Wijsen