Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems

Transparent, Online Image Pattern Classification Using a Learning Classifier System

Image pattern classification in computer vision problems is challenging due to large, sparse input spaces with the added demand for generalisation and accuracy of results. The Evolutionary Computation technique of Learning Classifier Systems (LCS) addresses such problems, but has not been applied previously to this domain. Instead, offline, supervised techniques on fixed data sets have been sho...

Simultaneous Design of Feature Extractor and Pattern Classifier Using the Minimum Classification Error Training Algorithm

~ Recently, a minimum classification error training algorithm has been proposed for minimizing the misclassification probability based on a given set of training samples using a generalized probabilistic descent method. This algorithm is a type of discriminative learning algorithm. but it approaches the objective of nlininlumclassification error in a more direct manner than the conventional dis...

Robot Learning using Learning Classifier Systems Approach

Fuzzy Feature Clustering for Text Classification Using Sequence Classifier

Due to the rapid growth of Internet Technologies and the prosper of WWW, the volume of textual data is increasing more and more, thereby leading to the significance of text classification. Feature Clustering is a powerful method to reduce the dimensionality of feature vector for text classification. Text Classification is one of the important research issues in the field of text mining, where t...

Feature Subset Evaluation and Classification using Naive Bayes Classifier

Feature Reduction is the reduction of features. Most of the intrusion detection approaches focused on feature selection issues such as irrelevancy, redundancy and length of detection process. These issues will degrade the performance of system. The performance of the system is improved by three feature selection methods involving correlation based feature selection, Gain Ratio and Information G...