Showing papers on "Classifier chains published in 2006"

Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization

Abstract: In multilabel learning, each instance in the training set is associated with a set of labels and the task is to output a label set whose size is unknown a priori for each unseen instance. In this paper, this problem is addressed in the way that a neural network algorithm named BP-MLL, i.e., backpropagation for multilabel learning, is proposed. It is derived from the popular backpropagation algorithm through employing a novel error function capturing the characteristics of multilabel learning, i.e., the labels belonging to an instance should be ranked higher than those not belonging to that instance. Applications to two real-world multilabel learning problems, i.e., functional genomics and text categorization, show that the performance of BP-MLL is superior to that of some well-established multilabel learning algorithms

Resource Management for Networked Classifiers in Distributed Stream Mining Systems

Abstract: Networks of classifiers are capturing the attention of system and algorithmic researchers because they offer improved accuracy over single model classifiers, can be distributed over a network of servers for improved scalability, and can be adapted to available system resources. This work provides a principled approach for the optimized allocation of system resources across a networked chain of classifiers. We begin with an illustrative example of how complex classification tasks can be decomposed into a network of binary classifiers. We formally define a global performance metric by recursively collapsing the chain of classifiers into one combined classifier. The performance metric trades off the end-to-end probabilities of detection and false alarm, both of which depend on the resources allocated to each individual classifier. We formulate the optimization problem and present optimal resource allocation results for both simulated and state-of-the-art classifier chains operating on telephony data.