teaching machines and programmed learning a source book

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Algebra: A Teaching and Source Book

📁 Algebra: A Teaching and Source Book

✍ Ernest Shult, David Surowski 📂 Library 📅 2015 🏛 Springer 🌐 English

Presents an accessible avenue to the major theorems of modern algebra Each chapter can be easily adapted to create a one-semester course Written in a lively, engaging style This book presents a graduate-level course on modern algebra. It can be used as a teaching book – owing to the copious

Algebra: A Teaching and Source Book

📁 Algebra: A Teaching and Source Book

✍ Ernest Shult, David Surowski (auth.) 📂 Library 📅 2015 🏛 Springer International Publishing 🌐 English

This book presents a graduate-level course on modern algebra. It can be used as a teaching book – owing to the copious exercises – and as a source book for those who wish to use the major theorems of algebra.The course begins with the basic combinatorial principles of algebra: posets, c

Algebra : a teaching and source book

📁 Algebra : a teaching and source book

✍ Shult, Ernest; Surowski, David 📂 Library 📅 2015 🏛 Springer 🌐 English

This book presents a graduate-level course on modern algebra. It can be used as a teaching book – owing to the copious exercises – and as a source book for those who wish to use the major theorems of algebra.The course begins with the basic combinatorial principles of algebra: posets, chai

Teaching Machines and Programming

📁 Teaching Machines and Programming

📂 Library 📅 1964 🏛 Elsevier Ltd 🌐 English

Source Separation and Machine Learning

📁 Source Separation and Machine Learning

✍ Jen-Tzung Chien 📂 Library 📅 2019 🏛 Academic 🌐 English

Source Separation and Machine Learning

📁 Source Separation and Machine Learning

✍ Jen-Tzung Chien 📂 Library 📅 2018 🏛 Academic Press 🌐 English

Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approach