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136
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AAAI
2008
15 years 6 months ago
Constrained Classification on Structured Data
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner...
131
Voted
DMIN
2007
110views Data Mining» more  DMIN 2007»
15 years 5 months ago
Mining for Structural Anomalies in Graph-based Data
—In this paper we present graph-based approaches to mining for anomalies in domains where the anomalies consist of unexpected entity/relationship alterations that closely resembl...
William Eberle, Lawrence B. Holder
118
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COLING
2000
15 years 5 months ago
XMLTrans: a Java-based XML Transformation Language for Structured Data
The recently completed MLIS DicoPro project addressed the need for a uniform, platformindependent interface for accessing multiple dictionaries and other lexical resources via the...
Derek Walker, Dominique Petitpierre, Susan Armstro...
164
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ML
2010
ACM
181views Machine Learning» more  ML 2010»
15 years 2 months ago
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
David R. Hardoon, John Shawe-Taylor
124
Voted
DMS
2010
189views Multimedia» more  DMS 2010»
15 years 1 months ago
Visualizing the Commonalities Between Hierarchically Structured Data Queries
Abstract--In this paper we present an information visualization approach for visualizing the intersection between multiple feature hierarchies. In cases where a dataset has multipl...
Chad Jones, Ryan Armstrong, Kwan-Liu Ma