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» Generation of Attributes for Learning Algorithms
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VIS
2009
IEEE
399views Visualization» more  VIS 2009»
14 years 8 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard GrÃ...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 7 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
ECAI
2010
Springer
13 years 7 months ago
Learning to Author Text with textual CBR
Abstract. Textual reuse is an integral part of textual case-based reasoning (TCBR) which deals with solving new problems by reusing previous similar problem-solving experiences doc...
Ibrahim Adeyanju, Nirmalie Wiratunga, Juan A. Reci...
IDEAS
2005
IEEE
109views Database» more  IDEAS 2005»
14 years 1 months ago
Efficient Relational Joins with Arithmetic Constraints on Multiple Attributes
We introduce and study a new class of queries that we refer to as ACMA (arithmetic constraints on multiple attributes) queries. Such combinatorial queries require the simultaneous...
Chuang Liu, Lingyun Yang, Ian T. Foster
ICONIP
2009
13 years 5 months ago
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
Mónica Millán-Giraldo, J. Salvador S...