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» On the Foundations of Noise-free Selective Classification
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JMLR
2010
139views more  JMLR 2010»
12 years 11 months ago
On the Foundations of Noise-free Selective Classification
We consider selective classification, a term we adopt here to refer to `classification with a reject option.' The essence in selective classification is to trade-off classifi...
Ran El-Yaniv, Yair Wiener
ISMIS
2000
Springer
13 years 8 months ago
Design of Rough Neurons: Rough Set Foundation and Petri Net Model
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
James F. Peters, Andrzej Skowron, Zbigniew Suraj, ...
ICIAP
2005
ACM
14 years 5 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
ETRA
2010
ACM
213views Biometrics» more  ETRA 2010»
13 years 6 months ago
Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms
This paper presents a set of qualitative and quantitative scores designed to assess performance of any eye movement classification algorithm. The scores are designed to provide a ...
Oleg V. Komogortsev, Sampath Jayarathna, Do Hyong ...
ICDE
2004
IEEE
179views Database» more  ICDE 2004»
14 years 6 months ago
CrossMine: Efficient Classification Across Multiple Database Relations
Most of today's structured data is stored in relational databases. Such a database consists of multiple relations which are linked together conceptually via entity-relationsh...
Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu