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» On the Modularity of Theories
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KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 8 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
14 years 2 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen
JSAC
2006
180views more  JSAC 2006»
13 years 7 months ago
A Tutorial on Decomposition Methods for Network Utility Maximization
A systematic understanding of the decomposability structures in network utility maximization is key to both resource allocation and functionality allocation. It helps us obtain the...
Daniel Pérez Palomar, Mung Chiang
DOCENG
2004
ACM
14 years 1 months ago
On modular transformation of structural content
We show that an XML DTD (Document Type Definition) can be viewed as the fixed point of a parametric content model. We then use natural transformations from the source content mo...
Tyng-Ruey Chuang, Jan-Li Lin
POPL
1996
ACM
13 years 11 months ago
Using Parameterized Signatures to Express Modular Structure
Module systems are a powerful, practical tool for managing the complexity of large software systems. Previous attempts to formulate a type-theoretic foundation for modular program...
Mark P. Jones