Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We apply one such Bayesian technique, variational Bayes, to GIZA++, a widely-used piece of software that computes word alignments for statistical machine translation. We show that using variational Bayes improves the performan...

An application of relational instance-based learning to the complex task of expressive music performance is presented. We investigate to what extent a machine can automatically build ‘expressive profiles’ of famous pianists using only minimal performance information extracted from audio CD recordings by pianists and the printed score of the played music. It turns out that the machine-generated ...

Abstract: In this paper the author have designed and implemented an Extended Kalman filter (EKF) on the simulated model of the three-phase induction motor. An extensive simulation study has been carried out to asses the performances of the filter under various machine operating conditions and model uncertainties. In this work, it has been shown that the performance of EKF is found to be better ...

We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks. The method uses WordNetbased distance metrics to construct a similarity matrix, and expectation maximization to find and represent clusters of semantically-related terms. Using these clusters as features for machine learning h...

This paper presents an approach towards high performance extraction of biomedical entities from the literature, which is built by combining a high recall dictionarybased technique with a high-precision machine learning filtering step. The technique is then evaluated on the CRAFT corpus. We present the performance we obtained, analyze the errors and propose a possible follow-up of this work.

The growing number of unauthorized activities and various trends of networking technologies in telecommunication network have added heavy burdens to telecommunication performance management (PM) system. One-class-support vector machine (OCSVM) is introduced in this paper, to automatically detect network anomalies. Real telecommunication performance data are employed in this paper to investigate...

We present the results of experimental investigation of ultrasonic washing of textiles. The results demonstrate that cavitation bubbles oscillating in acoustic fields are capable of removing soils from textiles. Since the washing performance is mitigated in a large washing bath when using an ultrasonic transducer, we propose a novel washing scheme by combining the ultrasonic vibration with a co...