In this paper, we propose to recognize unsuccessful activities (e.g., one tries to dress himself but fails), which have much more complex temporal structures, as we don’t know when the activity performer fails (which is called the point of failure in this paper). We develop a twolayer latent structural SVM model to tackle this problem: the first layer specifies the point of failure, and the sec...

Quotation and opinion extraction, discourse and factuality have all partly addressed the annotation and identification of Attribution Relations. However, disjoint efforts have provided a partial and partly inaccurate picture of attribution and generated small or incomplete resources, thus limiting the applicability of machine learning approaches. This paper presents PARC 3.0, a large corpus ful...

In this work, we propose to apply support vector regression (SVR) to build software reliability growth model (SRGM). SRGM is an important aspect in software reliability engineering. Software reliability is the probability that a given software will be functioning without failure during a specified period of time in a specified environment. In order to obtain the better performance of SRGM, prac...

This paper presents experiments on the human ranking task performed during WMT2013. The goal of these experiments is to re-run the human evaluation task with translation studies students and to compare the results with the human rankings performed by the WMT development teams during WMT2013. More specifically, we test whether we can reproduce, and if yes to what extent, the WMT2013 ranking task...

This paper investigates the performance and relevance of a set of acoustic features for the task of automatic recognition of affect from speech using machine learning techniques. Eighty seven novel and classical features related to loudness, intonation, and voice quality, are examined. Using feature selection, the results yield a performance level of 49.4% recognition rate (compared to a human ...

This paper considers a load-sharing man-machine system with multiple units (MMUs) subject to machine degradation, human errors, and random shocks. Human errors affect the that person operates in MMU contribute dependent competing failure processes (DCFPs) of unit (DCFPsU): soft hard processes. Random shocks all MMUs DCFPs (DCFPsS): soft/hard one after another until common cause failures. In add...

Due to the potential benefits resulting from the use of a phase order higher than three in transmission, some interest has also grown in the area of multi-phase machine. For machine drive applications, multi-phase system could potentially meet the demand for high power electric drive systems, which are both rugged and energy-efficient. High phase number drives possess several advantages over co...