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» Structured Sparsity in Structured Prediction
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CEC
2009
IEEE
16 years 27 days ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
16 years 21 days ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
SIGCSE
2005
ACM
117views Education» more  SIGCSE 2005»
15 years 11 months ago
Design patterns for parsing
We provide a systematic transformation of an LL(1) grammar to an object model that consists of · an object structure representing the non-terminal symbols and their corresponding...
Dung Zung Nguyen, Mathias Ricken, Stephen B. Wong
163
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BMCBI
2006
120views more  BMCBI 2006»
15 years 6 months ago
A factor analysis model for functional genomics
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Rafal Kustra, Romy Shioda, Mu Zhu
APIN
2004
97views more  APIN 2004»
15 years 6 months ago
FSfRT: Forecasting System for Red Tides
A hybrid neuro-symbolic problem-solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in ...
Florentino Fdez-Riverola, Juan M. Corchado