Traditional synchronous grammar induction estimates parameters by maximizing likelihood, which only has a loose relation to translation quality. Alternatively, we propose a max-margin estimation approach to discriminatively inducing synchronous grammars for machine translation, which directly optimizes translation quality measured by BLEU. In the max-margin estimation of parameters, we only nee...

In front of modern databases, noise tolerance has become today one of the most studied topics in machine learning. Many algorithms have been suggested for dealing with noisy data in the case of numerical instances, either by filtering them during a preprocess, or by treating them during the induction. However, this research subject remains widely open when one learns from unbounded symbolic seq...

Missing value imputation is one of the biggest tasks of data pre-processing when performing data mining. Most medical datasets are usually incomplete. Simply removing the cases from the original datasets can bring more problems than solutions. A suitable method for missing value imputation can help to produce good quality datasets for better analysing clinical trials. In this paper we explore t...

A fault diagnosis system based on pattern recognition techniques is developed for cage induction machine broken bar detection. The developed algorithm uses the stator current and, if available, motor speed as input data. Several features are extracted from the Frequency spectrum of the current signal derived using the Fast Fourier Transform. The relevance of the features for the purpose of faul...

We use bilingual lexicon induction techniques, which learn translations from monolingual texts in two languages, to build an end-to-end statistical machine translation (SMT) system without the use of any bilingual sentence-aligned parallel corpora. We present detailed analysis of the accuracy of bilingual lexicon induction, and show how a discriminative model can be used to combine various sign...

Grammatical inference and finite semigroup theory are continuously developing. Nevertheless it seems that they are not interacting too much. We propose in this paper an inference method for languages that belong to varieties of the form V∗LI. Many well known families of languages like locally testable, reversible, dot-depth one, etc. are of that form. The method unifies existing algorithms for ...

This paper presents an easy to understand dynamic simulation model of Induction Machine Model on Simulink/MATLAB software platform. A somewhat different induction machine model equations in which flux linkage equations are expressed in terms of reactances rather than inductances is used. Also, the model equations for the three phase carrier-based pulsewidth voltage source inverter for driving t...