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Spoken dialogue technology achievements and challenges`` ( file)
Spoken dialogue technology achievements and challenges`` ( file)

... Benefits for end users Benefits for providers Human factors: performance, usability Tools and languages for design and maintainability Application areas: call centre, enquiries, transactions, healthcare, … ...
An Artificial Intelligence Approach Towards Sensorial
An Artificial Intelligence Approach Towards Sensorial

... Copyright (c) IARIA, 2011. ...
Aalborg Universitet
Aalborg Universitet

Smart Spaces Outline §1. Ubiquitous computing Ubiquitous
Smart Spaces Outline §1. Ubiquitous computing Ubiquitous

ALGORITHMICS
ALGORITHMICS

Full-Text PDF
Full-Text PDF

Hypothetical Pattern Recognition Design Using Multi
Hypothetical Pattern Recognition Design Using Multi

... been renewed recently due to emerging applications which are not only challenging but also computationally more demanding [11]. The application area of the pattern recognition is involves with data mining, classification text into several categories from a document, personal identification based on ...
MS PowerPoint format - KDD
MS PowerPoint format - KDD

... – Vertices (37): findings (e.g., esophageal intubation), intermediates, observables – K2: found BBN different in only 1 edge from gold standard (elicited from expert) ...
New taxonomy of classification methods based on Formal Concepts
New taxonomy of classification methods based on Formal Concepts

... amounts of data. One of the main processes of the knowledge extraction is based on data mining. This operation collects several tasks such as prediction, clustering and supervised classification. The latter can be performed by methods based on neural networks, decision trees, nearest neighbor, suppo ...
A Novel Connectionist System for Unconstrained Handwriting
A Novel Connectionist System for Unconstrained Handwriting

... exists between recognition and segmentation. Over the years, numerous refinements of the basic HMM approach have been proposed, such as the writer independent system considered in [7], which combines point oriented and stroke oriented input features. However, HMMs have several well-known drawbacks. ...
View/Download-PDF - International Journal of Computer Science
View/Download-PDF - International Journal of Computer Science

... Twitter is an online social networking and micro blogging service that enables users to send and read short 140character text messages, called "tweets". Registered users can read and post tweets, but unregistered users can only read them. Users access Twitter through the website interface, SMS, or m ...
Toward Conversational Human
Toward Conversational Human

An Efficient Explanation of Individual Classifications
An Efficient Explanation of Individual Classifications

... planation method also has to be modified or replaced. The user then has to invest time and effort into adapting to the new explanation method. This can be avoided by using a general explanation method. Overall, a good general explanation method reduces the dependence between the user-end and the und ...
- Wiley Online Library
- Wiley Online Library

... into individual facial muscles. The facial motor nucleus was formed by multipolar motoneurons and had an ovoid shape, with its rostrocaudal axis measuring on average 1875 µm. We divided the nucleus into four different subnuclei: medial, intermediate, dorsal and lateral. Retrograde labelling patterns ...
Classifier Conditional Posterior Probabilities
Classifier Conditional Posterior Probabilities

Foundations and Grand Challenges of Artificial Intelligence
Foundations and Grand Challenges of Artificial Intelligence

... computational and accuracy limitations made it necessary to pause between words. The recent speaker-independent speech recognition system called Sphinx best illustrates the current state of the art (Lee 1988). This system is capable of recognizing continuous speech without training the system for ea ...
Multi-objective optimization of support vector machines
Multi-objective optimization of support vector machines

Methods of Artificial Intelligence in Blind People Education
Methods of Artificial Intelligence in Blind People Education

... kinds of programs, in their basic forms, cannot be classified as employing artificial intelligence methods; they are rather simple tools like record players or music analogs of typewriters. Above and beyond implementation of simple computer programs for music processing more sophisticated methods ha ...
HandWriting Recognition - "Offline" Approach
HandWriting Recognition - "Offline" Approach

Affective Motivational Collaboration Theory - WPI
Affective Motivational Collaboration Theory - WPI

... Emotions have a key role in influencing the cognitive processes involved in social interaction and collaboration. Psychologists claim that emotions contribute to the modulation of assessment, selection and the evaluation of options (alternative decisions). For instance, a sad mood may result from a ...
Better Prediction of Protein Cellular Localization Sites with the k
Better Prediction of Protein Cellular Localization Sites with the k

sv-lncs
sv-lncs

... In general, wrapper and filter method have been proposed for feature selection. Wrapper method adopts classification algorithms and performs cross validation to identify important features. Filter method utilizes correlation based approach. Wrapper method demands heavy computational resource for tra ...
IOSR Journal of Computer Engineering (IOSR-JCE)
IOSR Journal of Computer Engineering (IOSR-JCE)

GRANULAR COMPUTING: A NEW PARADIGM IN INFORMATION
GRANULAR COMPUTING: A NEW PARADIGM IN INFORMATION

... the fastest growing information processing paradigm in computational intelligence and human-centric systems. It has been gaining popularity in the past ten years. GrC is often loosely defined as an umbrella term to cover any theories, methodologies, techniques, and tools that make use of granules in ...
Enhancing sentiment classification performance using bi
Enhancing sentiment classification performance using bi

< 1 2 3 4 5 6 7 8 9 ... 17 >

Affective computing

Affective Computing is also the title of a textbook on the subject by Rosalind Picard.Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. While the origins of the field may be traced as far back as to early philosophical enquiries into emotion, the more modern branch of computer science originated with Rosalind Picard's 1995 paper on affective computing. A motivation for the research is the ability to simulate empathy. The machine should interpret the emotional state of humans and adapt its behaviour to them, giving an appropriate response for those emotions.
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