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KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 10 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
VIS
2004
IEEE
218views Visualization» more  VIS 2004»
16 years 7 months ago
Pixel-Exact Rendering of Spacetime Finite Element Solutions
Computational simulation of time-varying physical processes is of fundamental importance for many scientific and engineering applications. Most frequently, time-varying simulation...
Michael Garland, Robert Haber, Yuan Zhou
ICPR
2002
IEEE
16 years 7 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
CICLING
2009
Springer
16 years 7 months ago
Guessers for Finite-State Transducer Lexicons
Abstract. Language software applications encounter new words, e.g., acronyms, technical terminology, names or compounds of such words. In order to add new words to a lexicon, we ne...
Krister Lindén
KDD
2002
ACM
149views Data Mining» more  KDD 2002»
16 years 7 months ago
A system for real-time competitive market intelligence
A method is described for real-time market intelligence and competitive analysis. News stories are collected online for a designated group of companies. The goal is to detect crit...
Sholom M. Weiss, Naval K. Verma