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» A Modular Approach to Roberts' Theorem
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CIKM
2008
Springer
13 years 9 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
MKM
2004
Springer
14 years 25 days ago
A Graph-Based Approach Towards Discerning Inherent Structures in a Digital Library of Formal Mathematics
As the amount of online formal mathematical content grows, for example through active efforts such as the Mathweb [21], MOWGLI [4], Formal Digital Library, or FDL [1], and others, ...
Lori Lorigo, Jon M. Kleinberg, Richard Eaton, Robe...
JFP
2007
85views more  JFP 2007»
13 years 7 months ago
What is the meaning of these constant interruptions?
Asynchronous exceptions, or interrupts, are important for writing robust, modular programs, but are traditionally viewed as being difficult from a semantic perspective. In this ar...
Graham Hutton, Joel Wright
POPL
2007
ACM
14 years 7 months ago
Modular type classes
ML modules and Haskell type classes have proven to be highly effective tools for program structuring. Modules emphasize explicit configuration of program components and the use of...
Derek Dreyer, Robert Harper, Manuel M. T. Chakrava...
ICDM
2002
IEEE
111views Data Mining» more  ICDM 2002»
14 years 12 days ago
An Algebraic Approach to Data Mining: Some Examples
In this paper, we introduce an algebraic approach to the foundations of data mining. Our approach is based upon two algebras of functions de ned over a common state space X and a ...
Robert L. Grossman, Richard G. Larson