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» Small Scale Variants of the AES
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NIPS
2003
13 years 6 months ago
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Justin Werfel, Xiaohui Xie, H. Sebastian Seung
INFOCOM
2007
IEEE
13 years 11 months ago
A Framework for Tiered Service in MPLS Networks
— Many network operators offer some type of tiered service, in which users may select only from a small set of service levels (tiers). Such a service has the potential to simplif...
George N. Rouskas, Nikhil Baradwaj
ICCBR
2003
Springer
13 years 10 months ago
An Empirical Analysis of Linear Adaptation Techniques for Case-Based Prediction
This paper is an empirical investigation into the effectiveness of linear scaling adaptation for case-based software project effort prediction. We compare two variants of a linea...
Colin Kirsopp, Emilia Mendes, Rahul Premraj, Marti...
JMLR
2006
89views more  JMLR 2006»
13 years 5 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
14 years 5 months ago
Topical query decomposition
We introduce the problem of query decomposition, where we are given a query and a document retrieval system, and we want to produce a small set of queries whose union of resulting...
Francesco Bonchi, Carlos Castillo, Debora Donato, ...