A Chatbot is a type of conversational agent or a computer program which has been designed to simulate an intelligent conversation with one or more human users via auditory or textual methods. Chatbots can be used as an exciting intelligent mechanism to interacting with computers. Undisputedly, Chatbots revolutionize the next generation of human-machine and machine-machine interaction in the con...

We consider a problem of multi-product lot-sizing and scheduling where each product can be produced by a family of alternative multi-machine technologies. Multi-machine technologies require one or more machine at the same time. A sequence dependent setup time is needed between different technologies. The criterion is to minimize the makespan. Preemptive and non-preemptive versions of the proble...

This work presents a new method proposal applied to Multi-Labelers scenarios. This is a situation where labelling individuals in a set of data based on certain characteristics in the process of determining labels to individuals in a set of data based on certain characteristics. Our approach consists in processing a Support Vector Machine classifier to each labelers substantiated on his answers....

Flow number of asphalt–aggregate mixtures as an explanatory factor has been proposed in order to assess the rutting potential of asphalt mixtures. This study proposes a multiple–kernel based support vector machine (MK–SVM) approach for modeling of flow number of asphalt mixtures. The MK–SVM approach consists of weighted least squares–support vector machine (WLS–SVM) integrating two kernel funct...

This paper addresses the problem of scheduling n jobs on m identical parallel machines so as to minimize the completion time variance. Properties of optimal solutions are derived first. Then, complexity results are obtained, which show that the problem is NP-complete in the strong sense when m is arbitrary, and NP-complete in the ordinary sense when m is fixed. Two algorithms are proposed. The ...

We describe different architectures that combine rule-based and statistical machine translation (RBMT and SMT) engines into hybrid systems. One of them allows to combine many existing MT engines in a multi-engine setup, which can be done under the control of a decoder for SMT. Another architecture uses lexical entries induced via SMT technology to be included in a rule-based system. For all the...

Implementations of functional programming languages can take a number of different forms; the first implementations used the SECD machine of Landin [Lan], which is a generalisation of the abstract machine underlying implementations of imperative programming languages like Pascal. Making the implementation lazy can be done with some cost in efficiency (details can be found in Henderson’s book [H...

Previous machine comprehension (MC) datasets are either too small to train endto-end deep learning models, or not difficult enough to evaluate the ability of current MC techniques. The newly released SQuAD dataset alleviates these limitations, and gives us a chance to develop more realistic MC models. Based on this dataset, we propose a Multi-Perspective Context Matching (MPCM) model, which is ...

In this paper, a generalized formula is proposed for the selection of number of slots required for n-phase alternative current (AC) machine design and the criterion for selecting the starting points of each phases. The analytical model is verified using a four-pole machine with a 36-slot stator. Each coil of the stator winding of this machine is brought out to a patch board that enables the sta...

Safety verification of critical real-time embedded systems requires Worst Case Execution Time information (WCET). Among the existing approaches to estimate the WCET, static analysis at the machine code level has proven to get safe results. A lot of different architectures are used in real-time systems but no generic solution provides the ability to perform static analysis of values handled by m...