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Design of Experiments for Reinforcement Learning
This thesis takes an empirical approach to understanding of the behavior and interactions between the two main components of reinforcement learning: the learning algorithm and the functional representation of learned knowledge. The author approaches these entities using design of experiments not commonly employed to study machine learning methods. The results outlined in this work provide insight as to what enables and what has an effect on successful reinforcement learning implementations so that this learning method can be applied to more challenging problems.
Нова розмовна лексика і фразеологія: Англо-український словник.
Словник містить понад 2500 нових найбільш вживаних лексичних і фразеологічних одиниць, що ввійшли в систему англійської мови в ХХІ столітті, з іх відповідниками в українській мові і контекстами функціонування в різних сферах життя англомовного суспільства. Для мовознавців, викладачів, перекладачів, аспірантів і студентів.
Assembly
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Advances in Intelligent Signal Processing and Data Mining
The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.
Chris Marker
A critical study of the work of film-maker and media artist Chris Marker.
Subject Index of Extramural Research Administered by the National Cancer Institute
Current information about research grants and contracts supported by the National Cancer Institute. Subject listing gives contract or grant number and topic. Investigator, grant number, and contract number indexes.
