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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 7 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
ER
2007
Springer
167views Database» more  ER 2007»
15 years 10 months ago
An Unified Dynamic Description Logic Model for Databases: Relational Data, Relational Operations and Queries
The paper presents an unified Description Logic (DL) model for databases. Describing database models using DLs is a fundamental problem in many areas because it turns databases to...
Guoshun Hao, Shilong Ma, Yuefei Sui, Jianghua Lv

Book
640views
17 years 5 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
ICPR
2000
IEEE
16 years 7 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
ITICSE
2004
ACM
15 years 12 months ago
SQLator: an online SQL learning workbench
SQL (Structured Query Language) is one of the essential topics in foundation databases courses in higher education. Due to its apparent simple syntax, learning to use the full pow...
Shazia Wasim Sadiq, Maria E. Orlowska, Wasim Sadiq...