OCLC-licensed vendor bibliographic record.
Log-linear models play a key role in modern big data and machine learning applications. From simple binary classification models through partition functions, conditional random fields, and neural nets, log-linear structure is closely related to performance in certain applications and influences fitting techniques used to train models. This volume covers recent advances in training models with l…
OCLC-licensed vendor bibliographic record.
An examination of the role of theory in applied econometrics.OCLC-licensed vendor bibliographic record.
An argument that the way we listen to speech is shaped by our experience with our native language.Understanding speech in our native tongue seems natural and effortless; listening to speech in a nonnative language is a different experience. In this book, Anne Cutler argues that listening to speech is a process of native listening because so much of it is exquisitely tailored to the requirements…
"This book provides a longue dur?ee story examining the dynamic history of predictive methods and values in sciences--and particularly in engineering and other applied sciences--which is crucial to understanding today's culture of prediction"--OCLC-licensed vendor bibliographic record.
"Stiny extends his arguments around shape grammars outlined in his 2006 book Shape in order to provide insights into visual calculating with rules and grammar in art and design"--OCLC-licensed vendor bibliographic record.
"Instead of arguing for a specific animal model, Striedter will review the history and philosophy of animal models in biomedical research, examining their various advantages and limitations"--OCLC-licensed vendor bibliographic record.
"A much-needed synthesis of active inference, a theory of mind that addresses cognition, behavior, intelligence, & mental disorders and which can be extended to explain behavior in all living systems"--OCLC-licensed vendor bibliographic record.
"Both state-space models and Markov-switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods that make feasible the estimation of models that have both features. One approach, in the classical framework, approximates the likelihood function; the other, in the Bayesian framework, uses Gibbs-…