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CORR
2012
Springer
214views Education» more  CORR 2012»
14 years 5 days ago
Stochastic Low-Rank Kernel Learning for Regression
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
Pierre Machart, Thomas Peel, Liva Ralaivola, Sandr...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 4 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 4 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
VLDB
1999
ACM
147views Database» more  VLDB 1999»
15 years 8 months ago
Data-Driven, One-To-One Web Site Generation for Data-Intensive Applications
A data-driven approach can be fruitfully used in the speci cation and automatic generation of data-intensive Web applications, i.e., applications which make large amounts of data ...
Stefano Ceri, Piero Fraternali, Stefano Paraboschi
WSC
1997
15 years 5 months ago
Making Better Manufacturing Decisions with AIM
FACTOR/AIM (AIM) is a simulation system designed specifically for use in manufacturing decision support. AIM has been successfully applied to engineering design, scheduling, and p...
Julie N. Ehrlich, William R. Lilegdon