Computing Bodies: Gender Codes And Anthropomorphic Design At The Human-computer Interface

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Claude Draude analyzes embodied software agents – interface solutions that are designed to talk back and give emotional feedback – from a gender and media studies perspective. She addresses technological and sociocultural concepts in their interplay of shifting the boundary between what is considered as human and what as machine.

The author discusses the technological realization of specific personality models that define the design of embodied software agents – emotion and gaze models, in particular. Finally, she explores these models in their broader cultural context by relating them to the prominent topic of the Turing test and the notion of the Uncanny Valley.

Predictive Analytics With Matlab. Regression And Neural Networks

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Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behavior patterns. Often the unknown event of interest is in the future, but predictive analytics can be applied to any type of unknown whether it be in the past, present or future. For example, identifying suspects after a crime has been committed, or credit card fraud as it occurs. The core of predictive analytics relies on capturing relationships between explanatory variables and the predicted variables from past occurrences, and exploiting them to predict the unknown outcome. It is important to note, however, that the accuracy and usability of results will depend greatly on the level of data analysis and the quality of assumptions.

This books develops the more important predictive models like Regression Models, Generalized Regression Models, Discrete Choice Models, Logit and Probit Models, Support Vector Machine Regression, Gaussian Process Regresion, Regression Trees, Regression Models with Neural Networks and Neural Networks Time Series Prediction.

Models Of Computation (texts In Theoretical Computer Science. An Eatcs Series)

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This book presents in their basic form the most important models of computation, their basic programming paradigms, and their mathematical descriptions, both concrete and abstract. Each model is accompanied by relevant formal techniques for reasoning on it and for proving some properties. After preliminary chapters that introduce the notions of structure and meaning, semantic methods, inference rules, and logic programming, the authors arrange their chapters into parts on IMP, a simple imperative language; HOFL, a higher-order functional language; concurrent, nondeterministic and interactive models; and probabilistic/stochastic models.

The authors have class-tested the book content over many years, and it will be valuable for graduate and advanced undergraduate students of theoretical computer science and distributed systems, and for researchers in this domain. Each chapter of the book concludes with a list of exercises addressing the key techniques introduced, solutions to selected exercises are offered at the end of the book.