Take advantage of the Code First data modeling approach in ADO.NET Entity Framework, and learn how to build and configure a model based on existing classes in your business domain. With this concise book, you'll work hands-on with examples to learn how Code First can create an i…
Annotation
Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is that only partial feedback is g…
"This book confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods"--Provided by publisher
Annotation
Annotation
We live in a world, according to N. Katherine Hayles, where new languages are constantly emerging, proliferating, and fading into obsolescence. These are languages of our own making: the programming languages written in code for the intelligent machines we call computers. Hayles…
Annotation
Annotation
Markov decision processes have become the de facto standard in modeling and solving sequential decision making problems under uncertainty. This book studies lifting Markov decision processes, reinforcement learning and dynamic programming to the first-order (or, relational) sett…
Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of machine learning methods and their applications in the environmental s…
Create mobile game apps for the lucrative gaming market If you're an experienced developer seeking to break into the sizzling mobile game market, this is the book for you. Covering all mobile and touchscreen devices, including iPhones, iPads, Android, and WP7.5, this book takes …
"Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning and as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by…
Annotation
Standard approaches to understanding swarms rely on inspiration from biology and are generally covered by the term "biomimetics". This book focuses on a different, complementary inspiration, namely physics. The editors have introduced the term "physicomimetics" to refer to physi…
Standard approaches to understanding swarms rely on inspiration from biology and are generally covered by the term "biomimetics". This book focuses on a different, complementary inspiration, namely physics. The editors have introduced the term "physicomimetics" to refer to physi…
