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» A selective sampling approach to active feature selection
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IJON
2000
71views more  IJON 2000»
14 years 9 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
INFSOF
2002
147views more  INFSOF 2002»
14 years 9 months ago
On the efficiency of domain-based COTS product selection method
Use of commercial-off-the-shelf (COTS) products is becoming a popular software development method. Current methods of selecting COTS products involve using the intuition of softwa...
Karl R. P. H. Leung, Hareton K. N. Leung
CVPR
2010
IEEE
15 years 6 months ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta
DICTA
2003
14 years 11 months ago
Synthesising Textures Using Variable Neighbourhood Searching
Abstract. Texture synthesis aims to define and reproduce discriminating image features. These features are used to associate with and differentiate between two textures. Often tex...
Minh Tran, Amitava Datta
PAA
2010
14 years 8 months ago
Exploiting visual and text features for direct marketing learning in time and space constrained domains
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audiences. Companies systematically dispatch the offers under consid...
Sebastiano Battiato, Giovanni Maria Farinella, Gio...