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» Experimental Design for Variable Selection in Data Bases
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AUSDM
2007
Springer
104views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets
This paper investigates the use of influence from foreign stock markets (intermarket influence) to predict the trading signals, buy, hold and sell, of the of a given stock market....
Chandima Tilakaratne, Musa A. Mammadov, Sidney A. ...
DAC
2010
ACM
15 years 10 months ago
An AIG-Based QBF-solver using SAT for preprocessing
In this paper we present a solver for Quantified Boolean Formulas (QBFs) which is based on And-Inverter Graphs (AIGs). We use a new quantifier elimination method for AIGs, which...
Florian Pigorsch, Christoph Scholl
DAS
2010
Springer
15 years 4 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
WWW
2005
ACM
16 years 6 months ago
On optimal service selection
While many works have been devoted to service matchmaking and modeling nonfunctional properties, the problem of matching service requests to offers in an optimal way has not yet b...
Piero A. Bonatti, P. Festa
184
Voted
ENC
2004
IEEE
15 years 9 months ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar