TEXT CATEGORIZATION USING QLEARNING ALOGRITHM
Journal Title: Indian Journal of Computer Science and Engineering - Year 2011, Vol 2, Issue 3
Abstract
This paper aims at creation of an efficient document classification process using reinforcement learning, a branch of machine learning that concerns itself with optimal sequential decision-making. One strength of reinforcement learning is that it provides formalism for measuring the utility of actions that gives benefit only in the future. An effective and flexible classifier learning algorithm is provided, which classifies a set of text documents into a more specific domain like Cricket, Tennis and Football. This novel approach has been evaluated, with standard information retrieval techniques. Recent work in reinforcement learning it has been proved that a quantitative connection between the expected some of rewards of a policy and binary classification performance on a created sub problem. Without any unobservable assumption, the resulting statement is independent of the number of states or actions.
Authors and Affiliations
Dr. S. R. Suresh , T. Karthikeyan , D. B. Shanmugam , J. Dhilipan
Keywords
Related Articles
- EP ID EP155422
- DOI -
- Views 100
- Downloads 0
A Review of Malicious Attack in Mobile Ad-Hoc Network Based On Power Constraints
The minimization of power in wireless sensor network is big issue. If the process of energy constraints is optimized increase the reliability and security of mobile ADHOC network. The management of ADHOC network is great...
RANK LEVEL FUSION USING FINGERPRINT AND IRIS BIOMETRICS
Authentication of users is an essential and difficult to achieve in all systems. Shared secrets like Personal Identification Numbers (PIN) or Passwords and key devices such as Smart cards are not presently sufficient in...
MULTIPATH VIRTUAL QUEUE MANAGEMENT SYSTEM FOR EFFECTIVE PACKET SCHEDULING IN MPLS NETWORKS
With the rapid development of communication and networking technologies VOIP has become an alternate to traditional telephony. These applications prefer timeliness in packet delivery. To perform load balancing, link util...
SUPER STRONGLY PERFECT NESS OF SOME INTERCONNECTION NETWORKS
A Graph G is Super Strongly Perfect Graph if every induced sub graph H of G possesses a minimal dominating set that meets all the maximal complete sub graphs of H. In this paper we have analyzed the structure of super st...
APPLICATION OF DATA MINING IN BIOINFORMATICS
This article highlights some of the basic concepts of bioinformatics and data mining. The major research areas of bioinformatics are highlighted. The application of data mining in the domain of bioinformatics is explaine...