Support Vector Machines for a new Hybrid Information Retrieval System

Customization Using Support Vector Machines for Information Retrieval

This paper proposes an HCI approach to supporting interactive document retrieval in unorganized open information space. On the assumption that taxonomical thought are one of the most important and skilled operations for us when we organize or store information, we may discuss that clustering or classification techniques are applied to interactive interface. The proposed system, therefore, provi...

Speech recognition with support vector machines in a hybrid system

While the temporal dynamics of speech can be represented very efficiently by Hidden Markov Models (HMMs), the classification of speech into single speech units (phonemes) is usually done with Gaussian mixture models which do not discriminate well. Here, we use Support Vector Machines (SVMs) for classification by integrating this method in a HMM-based speech recognition system. In this hybrid SV...

STAGE-DISCHARGE MODELING USING SUPPORT VECTOR MACHINES

Establishment of rating curves are often required by the hydrologists for flow estimates in the streams, rivers etc. Measurement of discharge in a river is a time-consuming, expensive, and difficult process and the conventional approach of regression analysis of stage-discharge relation does not provide encouraging results especially during the floods. P

Hybrid Architecture Based on Support Vector Machines

An hybrid SVM-symbolic architecture for classification tasks is proposed in this work. The learning system relies on a support vector machine (SVM), meanwhile a rule extraction module translate the embedded knowledge in the trained SVM in the form of symbolic rules. The new representation is useful to understand the nature of the problem and its solution. Moreover, a rule insertion module in th...

Support Vector Machines for System Identification