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» On Issues of Instance Selection
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PSD
2010
Springer
109views Database» more  PSD 2010»
13 years 7 months ago
A Tool for Analyzing and Fixing Infeasible RCTA Instances
Minimum-distance controlled tabular adjustment methods (CTA), and its restricted variants (RCTA), is a recent perturbative approach for tabular data protection. Given a table to be...
Jordi Castro, José A. González
CVPR
2010
IEEE
14 years 4 months ago
Online Multiple Instance Learning with No Regret
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Li Mu, James Kwok, Lu Bao-liang
AI
2009
Springer
14 years 3 months ago
Cost-Based Sampling of Individual Instances
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
William Klement, Peter A. Flach, Nathalie Japkowic...
ICDE
2000
IEEE
189views Database» more  ICDE 2000»
14 years 10 months ago
Image Database Retrieval with Multiple-Instance Learning Techniques
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...
Cheng Yang, Tomás Lozano-Pérez
WISE
2005
Springer
14 years 2 months ago
Scalable Instance Retrieval for the Semantic Web by Approximation
Abstract. Approximation has been identified as a potential way of reducing the complexity of logical reasoning. Here we explore approximation for speeding up instance retrieval in...
Holger Wache, Perry Groot, Heiner Stuckenschmidt