Data Mining Practical Machine Learning Tools and Techniques

From the Publisher:
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.

/pdf/speech-and-language-processing-an-introduction-to-natural-atzaecqfem.pdf

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and/or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

Using context information to facilitate processing of commands in a virtual assistant

Art : Art in which the subject matter has been simplified or distorted to the point that it may or may not be easily descended. Acrylic: Resin that, when mixed with water and pigment, forms an inorganic and quick drying medium. Acrylic paint therefore is a fast drying synthetic paint made from acrylic resin. Action Painting: The technique of dripping and splashing paint onto canvases stretched on the floor Aesthetic: Pertaining to the appreciation of the beautiful as opposed to the functional or utilitarian, and, by extention, to the appreciation of any form of art. Aesthetic value: The impact of a work of art on our senses, intellect, and emotions. Analogous colours:Pairs of colour such as yellow and orange, that are adjudscent to each other on the colour wheel. Acqatint : A print making process that includes etching and that permits broad areas of black and gray tones. Air brush: Atomizer operated by compressed air used for spraying on paint. Art Deco: A popular art and design style of the 1920s and 30s, and characterized by its intergration of organic and geometric forms. Art: The special expression of ideas, feelings and values in visual forms. Art criticism: A special concentrated way of looking at a piece of art with a purpose to recieve maximum enjoyment and meaning from it. Abstract Expressionism: A twentieth-century painting style in which artists applied paint freely to huge canvases in an effort to show feelings and emotions rather than realistic subject matter.Expressionism: A twentieth-century painting style in which artists applied paint freely to huge canvases in an effort to show feelings and emotions rather than realistic subject matter.

The Ministry of Education

Automatic categorization for improving Spanish into Spanish Sign Language machine translation

Wearable sensor technology has the potential to transform the treatment of Parkinson's Disease (PD) by providing objective analysis about the frequency and severity of symptoms in everyday life. However, many challenges remain to developing a system that can robustly distinguish PD motor symptoms from normal motion. Stronger feature sets may help to improve the detection accuracy of such a system. In this work, we explore several feature sets compared across two classification algorithms for PD tremor detection. We find that features automatically learned by a Convolutional Neural Network (CNN) lead to the best performance, although our handcrafted features are close behind. We also find that CNNs benefit from training on data decomposed into tremor and activity spectra as opposed to raw data.

/pdf/automated-tremor-detection-in-parkinson-s-disease-using-3owkb4x8qk.pdf

Automated tremor detection in Parkinson's disease using accelerometer signals

Human activity recognition adapted to the type of movement

http://www-gth.die.upm.es/~cordoba/Papers/AI-77Spa-02.pdf

Spanish recognizer of continuously spelled names over the telephone

Project-based learning (PBL) is one of the most interesting instructional strategies in the field of technical and signal processing systems. However it is especially complex and difficult to implement when applied to laboratory courses with a high student-to-faculty ratio. In this paper, we describe our six-year experience of teaching laboratory courses in electronics in the telecommunication engineering studies (a career that is a mixture of computer science and electronics engineering) after the adoption of the PBL philosophy, and the design and implementation of several strategies and tools to ease the administrative, teaching and learning tasks in these laboratories. Finally, we offer some evaluation results, showing that the adoption and combination of all our strategies and software tools actually works. Both the laboratory acceptance of the students (3.7 on a 1-5 scale) and students performance are high (they get 78.3% of the maximum grade, on average)

/pdf/tools-and-strategies-for-improving-pbl-laboratory-courses-1hq1iqcsjp.pdf

Rubén San-Segundo

Papers

Automatic categorization for improving Spanish into Spanish Sign Language machine translation

Automated tremor detection in Parkinson's disease using accelerometer signals

Human activity recognition adapted to the type of movement

Spanish recognizer of continuously spelled names over the telephone

Tools and strategies for improving PBL laboratory courses with a high student-to-faculty ratio