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ECML
2005
Springer
15 years 9 months ago
Simple Test Strategies for Cost-Sensitive Decision Trees
We study cost-sensitive learning of decision trees that incorporate both test costs and misclassification costs. In particular, we first propose a lazy decision tree learning that ...
Shengli Sheng, Charles X. Ling, Qiang Yang
134
Voted
CLA
2007
15 years 4 months ago
Inducing Decision Trees via Concept Lattices
The paper presents a new method of decision tree induction based on formal concept analysis (FCA). The decision tree is derived using a concept lattice, i.e. a hierarchy of cluster...
Radim Belohlávek, Bernard De Baets, Jan Out...
120
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Separation of overlapping RFID signals by antenna arrays
— Radio Frequency Identi cation (RFID) is a technology to wirelessly transmit the identity of tagged objects. For long-range (UHF) systems with multiple tags, the tag replies may...
Asli F. Mindikoglu, Alle-Jan van der Veen
ICML
2003
IEEE
16 years 4 months ago
Decision-tree Induction from Time-series Data Based on a Standard-example Split Test
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...
Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhi...
138
Voted
ICML
2008
IEEE
16 years 4 months ago
Fast solvers and efficient implementations for distance metric learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
Kilian Q. Weinberger, Lawrence K. Saul