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» A Portfolio Approach to Algorithm Selection
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ICML
2010
IEEE
15 years 3 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
ICAISC
2010
Springer
15 years 7 months ago
Quasi-parametric Recovery of Hammerstein System Nonlinearity by Smart Model Selection
In the paper we recover a Hammerstein system nonlinearity. Hammerstein systems, incorporating nonlinearity and dynamics, play an important role in various applications, and e¤ecti...
Zygmunt Hasiewicz, Grzegorz Mzyk, Przemyslaw Sliwi...
117
Voted
BIS
2007
124views Business» more  BIS 2007»
15 years 4 months ago
Evaluating Quality of Web Services: A Risk-Driven Approach
Abstract. Composing existing web services to obtain new functionalities is important for e-business applications. Deficiencies of aggregated web services can be compensated involv...
Natallia Kokash, Vincenzo D'Andrea
119
Voted
ADCS
2004
15 years 4 months ago
Phrases and Feature Selection in E-Mail Classification
In this paper we study the effectiveness of using a phrase-based representation in e-mail classification, and the affect this approach has on a number of machine learning algorithm...
Elisabeth Crawford, Irena Koprinska, Jon Patrick
135
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar