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ANOR
2010
135views more  ANOR 2010»
15 years 3 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 3 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
MAM
2006
101views more  MAM 2006»
15 years 3 months ago
EPICURE: A partitioning and co-design framework for reconfigurable computing
This paper presents a new design methodology able to bridge the gap between an abstract specification and a heterogeneous recone architecture. The EPICURE contribution is the resu...
Jean-Philippe Diguet, Guy Gogniat, Jean Luc Philip...
CCR
2004
62views more  CCR 2004»
15 years 2 months ago
Methodological frameworks for large-scale network analysis and design
This paper emphasizes the need for methodological frameworks for analysis and design of large scale networks which are independent of specific design innovations and their advocac...
Antonis Papachristodoulou, Lun Li, John C. Doyle
NECO
1998
171views more  NECO 1998»
15 years 2 months ago
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization
three different levels of abstraction: detailed models including ctivity dynamics, weight dynamics that abstract from the neural activity dynamics by an adiabatic approximation, an...
Laurenz Wiskott, Terrence J. Sejnowski