A textbook suitable for undergraduate courses in machine learningand related topics, this book provides a broad survey of the field.Generous exercises and examples give students a firm grasp of theconcepts and techniques of this rapidly developing, challenging subject. Introduction to Machine Learning synthesizes and clarifiesthe work of leading researchers, much of which is otherwise availableonly in undigested technical reports, journals, and conference proceedings.Beginning with an overview suitable for undergraduate readers, Kodratoffestablishes a theoretical basis for machine learning and describesits technical concepts and major application areas. Relevant logicprogramming examples are given in Prolog. Introduction to Machine Learning is an accessible and originalintroduction to a significant research area.
Galdr is a song or howling by which a poem written in runes is "made active." Anthropological texts will often describe a healing ritual where the healer has been seen to mutter some indistinct words over the patient. This book gives these 'mutterings' back their true meaning and importance. It will also explain their rational value by clearly stating the root causes of the sickness, and explore their religious meaning. The poetry and creativity of these chants combine to form a very effective healing technique, albeit a very difficult one. Many of you will be familiar with karate's 'scream that kills', that came to us from the East. We will explore the 'scream (or song) that heals' called galdr by the Norse. In this book, galdr will be explored in two ways: by looking at a new interpretation of the famous Finish epic, Kalevala; and by considering pagan charms from various parts of the world, including two unexpected sources, those from Lithuania (not yet published) and those from Hildegard von Bingen (a German Christian visionary of the early twelfth century, whose charms were not considered to be Pagan). The Kalevala teaches us the twelve steps for physical healing, and the nine steps for healing mental illness. Old charms are used as a model for buidling new ones.
Machine Learning: An Artificial Intelligence Approach, Volume III presents a sample of machine learning research representative of the period between 1986 and 1989. The book is organized into six parts. Part One introduces some general issues in the field of machine learning. Part Two presents some new developments in the area of empirical learning methods, such as flexible learning concepts, the Protos learning apprentice system, and the WITT system, which implements a form of conceptual clustering. Part Three gives an account of various analytical learning methods and how analytic learning can be applied to various specific problems. Part Four describes efforts to integrate different learning strategies. These include the UNIMEM system, which empirically discovers similarities among examples; and the DISCIPLE multistrategy system, which is capable of learning with imperfect background knowledge. Part Five provides an overview of research in the area of subsymbolic learning methods. Part Six presents two types of formal approaches to machine learning. The first is an improvement over Mitchell's version space method; the second technique deals with the learning problem faced by a robot in an unfamiliar, deterministic, finite-state environment.
This book took its start with the author’s realization that what Old Norse calls 'magic' can be understood as 'unconscious', as stated by C. G. Jung: (we find) "magical means everything where unconscious influences are at work." This book reveals the existence of several Norse words specifically dedicated to magic, as are 'sköp', for instance, and it details the magic they carry with them. In our modern civilization these "skop" still exist but their magical nature is no longer obvious, though this point can be disputed. Once this magic is discovered and acknowledged, it becomes possible to infer from Norse poetry the existence and handling of unconscious archetypes within its associated myths. A few of them have been analyzed in detail and this enabled us to better understand some surprising traits of this mythology... up to detecting 'magical spells' imbedded within Norse poetry (they are usually dubbed as 'Galdralag"). The book ends by sending to the readers a positive of such 'spells' by which "Odinn" self-increased his thoughts and deeds, as given in Havamal. The book aims at four logically connected targets: 1) spotting Poetic Edda stanzas using a vocabulary calling upon magic for improving our knowledge of ancient Norse magic, 2) checking that no convincing proof of "Christian influences" on Poetic Edda had been provided by the academic community, 3) spotting a few images of Old Norse unconscious archetypes, and 4) finding a few typical instances of the Eddaic meter called Galdralag ("incantation meter").
This book took its start with the author’s realization that what Old Norse calls 'magic' can be understood as 'unconscious', as stated by C. G. Jung: (we find) "magical means everything where unconscious influences are at work." This book reveals the existence of several Norse words specifically dedicated to magic, as are 'sköp', for instance, and it details the magic they carry with them. In our modern civilization these "skop" still exist but their magical nature is no longer obvious, though this point can be disputed. Once this magic is discovered and acknowledged, it becomes possible to infer from Norse poetry the existence and handling of unconscious archetypes within its associated myths. A few of them have been analyzed in detail and this enabled us to better understand some surprising traits of this mythology... up to detecting 'magical spells' imbedded within Norse poetry (they are usually dubbed as 'Galdralag"). The book ends by sending to the readers a positive of such 'spells' by which "Odinn" self-increased his thoughts and deeds, as given in Havamal. The book aims at four logically connected targets: 1) spotting Poetic Edda stanzas using a vocabulary calling upon magic for improving our knowledge of ancient Norse magic, 2) checking that no convincing proof of "Christian influences" on Poetic Edda had been provided by the academic community, 3) spotting a few images of Old Norse unconscious archetypes, and 4) finding a few typical instances of the Eddaic meter called Galdralag ("incantation meter").
A textbook suitable for undergraduate courses in machine learningand related topics, this book provides a broad survey of the field.Generous exercises and examples give students a firm grasp of theconcepts and techniques of this rapidly developing, challenging subject. Introduction to Machine Learning synthesizes and clarifiesthe work of leading researchers, much of which is otherwise availableonly in undigested technical reports, journals, and conference proceedings.Beginning with an overview suitable for undergraduate readers, Kodratoffestablishes a theoretical basis for machine learning and describesits technical concepts and major application areas. Relevant logicprogramming examples are given in Prolog. Introduction to Machine Learning is an accessible and originalintroduction to a significant research area.
Machine Learning: An Artificial Intelligence Approach, Volume III presents a sample of machine learning research representative of the period between 1986 and 1989. The book is organized into six parts. Part One introduces some general issues in the field of machine learning. Part Two presents some new developments in the area of empirical learning methods, such as flexible learning concepts, the Protos learning apprentice system, and the WITT system, which implements a form of conceptual clustering. Part Three gives an account of various analytical learning methods and how analytic learning can be applied to various specific problems. Part Four describes efforts to integrate different learning strategies. These include the UNIMEM system, which empirically discovers similarities among examples; and the DISCIPLE multistrategy system, which is capable of learning with imperfect background knowledge. Part Five provides an overview of research in the area of subsymbolic learning methods. Part Six presents two types of formal approaches to machine learning. The first is an improvement over Mitchell's version space method; the second technique deals with the learning problem faced by a robot in an unfamiliar, deterministic, finite-state environment.
Galdr is a song or howling by which a poem written in runes is "made active." Anthropological texts will often describe a healing ritual where the healer has been seen to mutter some indistinct words over the patient. This book gives these 'mutterings' back their true meaning and importance. It will also explain their rational value by clearly stating the root causes of the sickness, and explore their religious meaning. The poetry and creativity of these chants combine to form a very effective healing technique, albeit a very difficult one. Many of you will be familiar with karate's 'scream that kills', that came to us from the East. We will explore the 'scream (or song) that heals' called galdr by the Norse. In this book, galdr will be explored in two ways: by looking at a new interpretation of the famous Finish epic, Kalevala; and by considering pagan charms from various parts of the world, including two unexpected sources, those from Lithuania (not yet published) and those from Hildegard von Bingen (a German Christian visionary of the early twelfth century, whose charms were not considered to be Pagan). The Kalevala teaches us the twelve steps for physical healing, and the nine steps for healing mental illness. Old charms are used as a model for buidling new ones.
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