Our search has the following Google-type functionality:
If you use '+' at the start of a word, that word will be present in the search results.
eg. Harry +Potter
Search results will contain 'Potter'.
If you use '-' at the start of a word, that word will be absent in the search results.
eg. Harry -Potter
Search results will not contain 'Potter'.
If you use 'AND' between 2 words, then both those words will be present in the search results.
eg. Harry AND Potter
Search results will contain both 'Harry' and 'Potter'.
NOTE: AND will only work with single words not phrases.
If you use 'OR' between 2 single words, then either or both of those words will be present in the search results.
eg. 'Harry OR Potter'
Search results will contain just 'Harry', or just 'Potter', or both 'Harry' and 'Potter'.
NOTE: OR will only work with single words not phrases.
If you use 'NOT' before a word, that word will be absent in the search results. (This is the same as using the minus symbol).
eg. 'Harry NOT Potter'
Search results will not contain 'Potter'.
NOTE: NOT will only work with single words not phrases.
If you use double quotation marks around words, those words will be present in that order.
eg. "Harry Potter"
Search results will contain 'Harry Potter', but not 'Potter Harry'.
NOTE: "" cannot be combined with AND, OR & NOT searches.
If you use '*' in a word, it performs a wildcard search, as it signifies any number of characters. (Searches cannot start with a wildcard).
Search results will contain words starting with 'Pot' and ending in 'er', such as 'Potter'.
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists,... [more]
Presents an introduction to the processing of natural language by computer. The subject is approached through the discussion... [more]
An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists.... [more]
A concise overview of machine learning-computer programs that learn from data-which underlies applications that include recommendation... [more]
Biometrics in a Data Driven World: Trends, Technologies, and Challenges aims to inform readers about the modern applications... [more]
Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms... [more]
Several statistical techniques are used for the design of materials through extraction of knowledge from existing data banks.... [more]
This book provides an account of the Turing Imitation Game, its history and implications, illustrated with practical tests.... [more]
This book provides a fresh, intuitive approach to machine learning, detailing the fundamental concepts necessary for building... [more]
Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses,... [more]
The result of the first Appalachian Conference on neurodynamics, this volume focuses on processing in biological neural networks.... [more]
Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the... [more]
Originally published in 1992, when connectionist natural language processing (CNLP) was a new and burgeoning research area,... [more]
First published in 1987, the seven chapters that comprise this book review contemporary work on the geometric side of robotics.... [more]
A comprehensive guide to well-known workflow patterns: recurrent, generic business process constructs, described from the... [more]
As the world becomes ever more dominated by technology, John Brockman's latest addition to the acclaimed and bestselling ... [more]
If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time... [more]
Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their... [more]
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log... [more]
A day does not go by without a news article reporting some amazing breakthrough in artificial intelligence (AI). Many philosophers,... [more]
Fills the Existing Gap of Mathematics for Data Fusion Data fusion (DF) combines large amounts of information from a variety... [more]
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering... [more]
Since the start of modern computing, the studies of living organisms have inspired the progress in developing computers and... [more]
The emergence of highly promising and potent technologies has enabled the transition of ordinary objects into smart artifacts-providing... [more]
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating... [more]