Annotating your own games can help you to play better chess. By examining the choices you made during the game and how they turned out you can pinpoint the flaws in your thinking process so that you can work on them. Chess master, author, and renowned teacher Dan Heisman shows you the whys and the hows of annotating your games. Using entertaining clashes from four decades of tournament play, Heisman traces his own development as a player and analyst, illustrating how his method works in practice.

"The Improving Chess Thinker provides representative thought processes from all classes of chess players, highlights the differences between these levels, and provides insight to help players raise their thinking process to the next level. Full of helpful tips and principles, the Improving Chess Thinker is the result of over 40 years of 'think out loud' chess exercises given by one of the country's top chess instructors, Dan Heisman. The range of subjects addressed includes everything from analysis and evaluation theory to time management skills. The instruction and lessons learned will aid players of all levels, from beginner to expert. The practical advice will be useful not only for players striving to benefit their game, but also coaches looking for new powerful teaching tools."--Publisher's description

This book features the very best of Dan Heisman's multi-award winning chess column Novice Nook and is full of valuable instruction, insight and practical advice on a wide range of key chess subjects.

An introduction to annotation as a genre--a synthesis of reading, thinking, writing, and communication--and its significance in scholarship and everyday life. Annotation--the addition of a note to a text--is an everyday and social activity that provides information, shares commentary, sparks conversation, expresses power, and aids learning. It helps mediate the relationship between reading and writing. This volume in the MIT Press Essential Knowledge series offers an introduction to annotation and its literary, scholarly, civic, and everyday significance across historical and contemporary contexts. It approaches annotation as a genre--a synthesis of reading, thinking, writing, and communication--and offer examples of annotation that range from medieval rubrication and early book culture to data labeling and online reviews.

This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation. The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research programs, each of the individual processes was performed separately and sequentially: speech recognition, language recognition, transcription, translation, and content summarization. The GALE program employed a distinctly new approach by executing these processes simultaneously. Speech and language recognition algorithms now aid translation and transcription processes and vice versa. This combination of previously distinct processes has produced significant research and performance breakthroughs and has fundamentally changed the natural language processing and machine translation fields. This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine translation, providing researchers, practitioners and students with an authoritative reference on the topic.

Includes bibliographical references (p. 305-315) and index.

This book constitutes the proceedings of the 24th International Conference on Text, Speech, and Dialogue, TSD 2021, held in Olomouc, Czech Republic, in September 2021.* The 2 keynote speeches and 46 papers presented in this volume were carefully reviewed and selected from 101 submissions. The topical sections "Text", "Speech", and "Dialogue" deal with the following issues: speech recognition; corpora and language resources; speech and spoken language generation; tagging, classification and parsing of text and speech; semantic processing of text and speech; integrating applications of text and speech processing; automatic dialogue systems; multimodal techniques and modelling, and others. * Due to the COVID-19 pandemic the conference was held in a "hybrid" mode.

Chess Tactics Can Be Fun! This book is an introduction to the various kinds of basic chess tactics. With instructional material, examples, and problems of all types, the subject of chess tactics is covered comprehensively. There are approximately 500 examples ranging from too easy to very difficult! Tactics are usually why most people find chess fun! This book will greatly enhance your enjoyment learning about - and benefiting from - the recurring patterns of tactics. It is well established that the study of basic tactics is probably the single most important thing any beginner can do to improve at chess. This book will help you do that!

This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.