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Natural Language Processing with Python
Natural Language Processing with Python
This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. With Natural Language Processing with Python, you'll learn how to write Python programs to work with large...
Crypto Anarchy, Cyberstates, and Pirate Utopias
Crypto Anarchy, Cyberstates, and Pirate Utopias

In Crypto Anarchy, Cyberstates, and Pirate Utopias, Peter Ludlow extends the approach he used so successfully in High Noon on the Electronic Frontier, offering a collection of writings that reflects the eclectic nature of the online world, as well as its tremendous energy and creativity. This time the subject is the emergence...

Modelling and Reasoning with Vague Concepts
Modelling and Reasoning with Vague Concepts
Vagueness is central to the flexibility and robustness of natural language descriptions. Vague concepts are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore motivated by the desire to incorporate this...
A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics
A Computational Model of Natural Language Communication: Interpretation, Inference, and Production in Database Semantics
Everyday life would be easier if we could simply talk with machines instead of having to program them. Before such talking robots can be built, however, there must be a theory of how communicating with natural language works. This requires not only a grammatical analysis of the language signs, but also a model of the cognitive agent, with...
Foundations of Dependable Computing: Paradigms for Dependable Applications
Foundations of Dependable Computing: Paradigms for Dependable Applications
Foundations of Dependable Computing: Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level. Driven by the higher level fault models of Models and Frameworks for Dependable Systems, and built on the lower level abstractions implemented in a third companion book...
Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)
Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)
A very ambitious undertaking, masterfully described. To the best of my knowledge, this is the first published version of the detailed models implied by the Zachman Framework. David Hay builds the models one step at a time, describing in each increment why the new entities were added, and how they related to the rest of the model. At least as...
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes. It then explores the range of models and...
UML Distilled: A Brief Guide to the Standard Object Modeling Language (2nd Edition)
UML Distilled: A Brief Guide to the Standard Object Modeling Language (2nd Edition)
Now widely adopted as the de facto industry standard and sanctioned by the
Object Management Group, the Unified Modeling Language (UML) is a notation
all software developers need to know and understand. However, the UML is a big
language, and not all of it is equally important. The award-winning first edition of
UML Distilled
...
Data Access Patterns: Database Interactions in Object-Oriented Applications
Data Access Patterns: Database Interactions in Object-Oriented Applications

Efficient, high-quality data access code is crucial to the performance and usability of virtually any enterprise application-and there's no better way to improve an existing system than to optimize its data access code. Regardless of database engine, platform, language, or application, developers repeatedly encounter the same...

Foundations of Dependable Computing: System Implementation
Foundations of Dependable Computing: System Implementation
Foundations of Dependable Computing: System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications. Approaches to implementing support mechanisms and to incorporating additional appropriate levels of fault detection and fault tolerance at the processor, network, and...
Stochastic Coalgebraic Logic (Monographs in Theoretical Computer Science. An EATCS Series)
Stochastic Coalgebraic Logic (Monographs in Theoretical Computer Science. An EATCS Series)

Coalgebraic logic is an important research topic in the areas of concurrency theory, semantics, transition systems and modal logics. It provides a general approach to modeling systems, allowing us to apply important results from coalgebras, universal algebra and category theory in novel ways. Stochastic systems provide important tools for...

GeoSpatial Semantics: 4th International Conference, GeoS 2011, Brest, France, May 12-13, 2011
GeoSpatial Semantics: 4th International Conference, GeoS 2011, Brest, France, May 12-13, 2011

The fourth edition of the International Conference on Geospatial Semantics (GeoS 2011) was held in Brest, France, during May 12–13, 2011.

Geospatial semantics (GEOS) is an emerging research area in the domain of geographic information science. It aims at exploring strategies, computational methods, and tools to support...

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