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» Forecasting high-dimensional data
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NIPS
2001
14 years 11 months ago
Global Coordination of Local Linear Models
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...
ISVC
2005
Springer
15 years 3 months ago
Tool for Storm Analysis Using Multiple Data Sets
This note describes a web-based tool for storm analysis using multiple data sets developed for use in research of thunderstorms and forecasting applications. The tool was developed...
Robert M. Rabin, Tom Whittaker
CORR
2002
Springer
139views Education» more  CORR 2002»
14 years 9 months ago
Symbolic Methodology in Numeric Data Mining: Relational Techniques for Financial Applications
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
Boris Kovalerchuk, Evgenii Vityaev, H. Yusupov
WSC
2008
15 years 6 days ago
Using data driven simulation to build inventory model
Many general-purpose simulation languages (such as ARENA, SLAM II, GPSS/H, SIMAN etc) have been the major simulation tools to simulate the demand-supply processes. They have made ...
Minghui Yang
LWA
2008
14 years 11 months ago
Towards Burst Detection for Non-Stationary Stream Data
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
Daniel Klan, Marcel Karnstedt, Christian Pöli...