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» On Classifier Domains of Competence
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IJCAI
2007
13 years 11 months ago
Learning to Identify Unexpected Instances in the Test Set
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
Xiaoli Li, Bing Liu, See-Kiong Ng
BMCBI
2008
125views more  BMCBI 2008»
13 years 10 months ago
Tandem duplication, circular permutation, molecular adaptation: how Solanaceae resist pests via inhibitors
Background: The Potato type II (Pot II) family of proteinase inhibitors plays critical roles in the defense system of plants from Solanaceae family against pests. To better unders...
Lesheng Kong, Shoba Ranganathan
ICML
2000
IEEE
14 years 11 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani
PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
14 years 3 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
FUIN
2002
132views more  FUIN 2002»
13 years 9 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna