This paper is an initial explore to Uyghur-Chinese statistical machine translation. Uyghur and Chinese are very different from each other, the former is an agglutinative language with very productive inflectional and derivational word-formation processes, but the characters of the latter are almost hieroglyphics, morpheme processing doesn’t work at all. We integrate Uyghur additional informatio...

BACKGROUND Machine learning has a vast range of applications. In particular, advanced machine learning methods are routinely and increasingly used in quantitative structure activity relationship (QSAR) modeling. QSAR data sets often encompass tens of thousands of compounds and the size of proprietary, as well as public data sets, is rapidly growing. Hence, there is a demand for computationally ...

This paper presents work which extends previous corpus-based work on training Machine Learning Algorithms to perform Prepositional Phrase attachment. Besides recreating others’ experiments to see how algorithms’ performance changes with the number of training examples and using n-fold cross-validation to produce more accurate error rates, we implemented our own vanilla Machine Learning Algorith...

Extreme Learning Machine is a fast single layer feed forward neural network for real valued classification. It suffers from the problem of instability and over fitting. Voting based Extreme Learning Machine, VELM reduces this performance variation in Extreme Learning Machine by employing majority voting based ensembling technique. VELM improves the performance of ELM at the cost of increased re...

Strong correlations between output distribution means of a variety of random binary processes and prestated intentions of some 100 individual human operators have been established over a 12-year experimental program. More than 1000 experimental series, employing four different categories of random devices and several distinctive protocols, show comparable magnitudes of anomalous mean shifts fro...

Recent work in the area of automatic machine translation evaluation has led to the development of metrics that have equivalent levels of performance with standard metrics, yet do not rely on the existence of human generated gold standard reference translations. To achieve this performance, alternative machine generated translation are used in place of the human references. A seemingly natural a...

Machine Learning deals with programming computers that learn from experience. The field of Machine learning is a popular research area in Computer Science. These techniques are helpful in different fields of Computer Science, Mobile Computing, Bioinformatics, Digital Forensic, Agriculture and Text Classification. Machine learning classification algorithms are used in Pattern Recognition, Text C...

This paper advocates the introduction of so-called cognitive and cooperative automation into vehicle guidance work systems. The work system of UAV guidance will be taken as an example. This idea radically breaks with the traditional approach of supervisory control. According to our approach the human will no longer be the only instance in the work process being responsible for the pursuit of th...

Electric and hybrid electric vehicles are attractive candidates for sustainable transportation due to its higher efficiency and low emission. The critical choice on the electric motors is its capability of motoring and regenerative braking characteristics. Switched reluctance machines are viable candidate as with proper control and extended constant power range operation replacing the multi-gea...

Designing high performance communication software requires an in-depth understanding of the role of the components of the underlying machine/network architecture and their reciprocal interactions. The task is complicated by the continuing technological advances in the machine architectures. In this paper we analyze the performance of the Fast Messages (FM) high performance messaging layer on th...