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» Multiple Kernels for Object Detection
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AIIA
2007
Springer
14 years 2 months ago
Discovering Relational Emerging Patterns
The discovery of emerging patterns (EPs) is a descriptive data mining task defined for pre-classified data. It aims at detecting patterns which contrast two classes and has been ...
Annalisa Appice, Michelangelo Ceci, Carlo Malgieri...
BIBM
2009
IEEE
164views Bioinformatics» more  BIBM 2009»
14 years 1 months ago
Differential Predictive Modeling for Racial Disparities in Breast Cancer
The primary objective of disparities research is to model the differences across multiple groups and identify the groups that behave significantly different from each other. Indep...
Indranil Palit, Chandan K. Reddy, Kendra L. Schwar...
AUSAI
2006
Springer
14 years 15 days ago
DynamicWEB: Profile Correlation Using COBWEB
Establishing relationships within a dataset is one of the core objectives of data mining. In this paper a method of correlating behaviour profiles in a continuous dataset is presen...
Joel Scanlan, Jacky Hartnett, Raymond Williams
BMCBI
2004
112views more  BMCBI 2004»
13 years 8 months ago
Predicting co-complexed protein pairs using genomic and proteomic data integration
Background: Identifying all protein-protein interactions in an organism is a major objective of proteomics. A related goal is to know which protein pairs are present in the same p...
Lan V. Zhang, Sharyl L. Wong, Oliver D. King, Fred...
NIPS
2003
13 years 10 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller