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» Data Mining: Machine Learning, Statistics, and Databases
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KDD
2004
ACM
124views Data Mining» more  KDD 2004»
15 years 6 months ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
EDBT
2006
ACM
150views Database» more  EDBT 2006»
16 years 1 months ago
On Futuristic Query Processing in Data Streams
Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process ...
Charu C. Aggarwal
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 1 months ago
Turning CARTwheels: an alternating algorithm for mining redescriptions
We present an unusual algorithm involving classification trees-CARTwheels--where two trees are grown in opposite directions so that they are joined at their leaves. This approach ...
Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malco...
CVPR
2005
IEEE
16 years 3 months ago
Fields of Experts: A Framework for Learning Image Priors
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Stefan Roth, Michael J. Black
ICML
2009
IEEE
15 years 8 months ago
Rule learning with monotonicity constraints
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing ...
Wojciech Kotlowski, Roman Slowinski