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Author: Huseyin Cem Bozsahin
Publisher:
ISBN:
Category : Causation
Languages : en
Pages : 320
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Book Description
Author: Huseyin Cem Bozsahin
Publisher:
ISBN:
Category : Causation
Languages : en
Pages : 320
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Book Description
Author: Michael J. Pazzani
Publisher: Psychology Press
ISBN: 1317783921
Category : Psychology
Languages : en
Pages : 361
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Book Description
This book presents a theory of learning new causal relationships by making use of perceived regularities in the environment, general knowledge of causality, and existing causal knowledge. Integrating ideas from the psychology of causation and machine learning, the author introduces a new learning procedure called theory-driven learning that uses abstract knowledge of causality to guide the induction process. Known as OCCAM, the system uses theory-driven learning when new experiences conform to common patterns of causal relationships, empirical learning to learn from novel experiences, and explanation-based learning when there is sufficient existing knowledge to explain why a new outcome occurred. Together these learning methods construct a hierarchical organized memory of causal relationships. As such, OCCAM is the first learning system with the ability to acquire, via empirical learning, the background knowledge required for explanation-based learning. Please note: This program runs on common lisp.
Author: Michael J. Pazzani
Publisher: Lawrence Erlbaum Associates
ISBN: 9781563210402
Category :
Languages : en
Pages : 360
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Book Description
This book presents a theory of learning new causal relationships by making use of perceived regularities in the environment, general knowledge of causality, and existing causal knowledge. Integrating ideas from the psychology of causation and machine learning, the author introduces a new learning procedure called theory-driven learning that uses abstract knowledge of causality to guide the induction process. Known as OCCAM, the system uses theory-driven learning when new experiences conform to common patterns of causal relationships, empirical learning to learn from novel experiences, and explanation-based learning when there is sufficient existing knowledge to explain why a new outcome occurred. Together these learning methods construct a hierarchical organized memory of causal relationships. As such, OCCAM is the first learning system with the ability to acquire, via empirical learning, the background knowledge required for explanation-based learning. Please note: This program runs on common lisp.
Author: Michael John Pazzani
Publisher: Psychology Press
ISBN: 9780805806298
Category : Computers
Languages : en
Pages : 0
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Book Description
First Published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.
Author:
Publisher:
ISBN:
Category : Language and languages
Languages : en
Pages : 722
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Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 812
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Book Description
Author: R. Green
Publisher: Springer Science & Business Media
ISBN: 9401700737
Category : Computers
Languages : en
Pages : 237
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Book Description
The genesis of this volume was the participation of the editors in an ACMlSIGIR (Association for Computing Machinery/Special Interest Group on Information Retrieval) workshop entitled "Beyond Word Relations" (Hetzler, 1997). This workshop examined a number of relationship types with significance for information retrieval beyond the conventional topic-matching relationship. From this shared participation came the idea for an edited volume on relationships, with chapters to be solicited from researchers and practitioners throughout the world. Ultimately, one volume became two volumes. The first volume, Relationships in the Organization of Knowledge (Bean & Green, 200 I), examines the role of relationships in knowledge organization theory and practice, with emphasis given to thesaural relationships and integration across systems, languages, cultures, and disciplines. This second volume examines relationships in a broader array of contexts. The two volumes should be seen as companions, each informing the other. As with the companion volume, we are especially grateful to the authors who willingly accepted challenges of space and time to produce chapters that summarize extensive bodies of research. The value of the volume clearly resides in the quality of the individual chapters. In naming this volume The Semantics of Relationships: An Interdisciplinary Perspective, we wanted to highlight the fact that relationships are not just empty connectives. Relationships constitute important conceptual units and make significant contributions to meaning.
Author: Mehwish Riaz
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Semantic relations between various text units play an important role in natural language understanding, as key elements of text coherence. The automatic identification of these semantic relationships is very important for many language processing applications. One of the most pervasive yet very challenging semantic relations is cause-effect. In this thesis, an unsupervised approach to learning both direct and indirect cause-effect relationships between inter- and intra-sentential events in web news articles is proposed. Causal relationships are leaned and tested on two large text datasets collected by crawling the web: one on the Hurricane Katrina, and one on Iraq War. The text collections thus obtained are further automatically split into clusters of connected events using advanced topic models. Our hypothesis is that events contributing to one particular scenario tend to be strongly correlated, and thus make good candidates for the causal information identification task. Such relationships are identified by generating appropriate candidate event pairs. Moreover, this system identifies both the Cause and Effect roles in a relationship using a novel metric, the Effect-Control-ratio. In order to evaluate the system, we relied on the manipulation theory of causality
Author: Modern Language Association of America
Publisher:
ISBN:
Category : Languages, Modern
Languages : en
Pages : 1372
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Book Description
Vols. for 1969- include ACTFL annual bibliography of books and articles on pedagogy in foreign languages 1969-
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309324882
Category : Social Science
Languages : en
Pages : 587
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Book Description
Children are already learning at birth, and they develop and learn at a rapid pace in their early years. This provides a critical foundation for lifelong progress, and the adults who provide for the care and the education of young children bear a great responsibility for their health, development, and learning. Despite the fact that they share the same objective - to nurture young children and secure their future success - the various practitioners who contribute to the care and the education of children from birth through age 8 are not acknowledged as a workforce unified by the common knowledge and competencies needed to do their jobs well. Transforming the Workforce for Children Birth Through Age 8 explores the science of child development, particularly looking at implications for the professionals who work with children. This report examines the current capacities and practices of the workforce, the settings in which they work, the policies and infrastructure that set qualifications and provide professional learning, and the government agencies and other funders who support and oversee these systems. This book then makes recommendations to improve the quality of professional practice and the practice environment for care and education professionals. These detailed recommendations create a blueprint for action that builds on a unifying foundation of child development and early learning, shared knowledge and competencies for care and education professionals, and principles for effective professional learning. Young children thrive and learn best when they have secure, positive relationships with adults who are knowledgeable about how to support their development and learning and are responsive to their individual progress. Transforming the Workforce for Children Birth Through Age 8 offers guidance on system changes to improve the quality of professional practice, specific actions to improve professional learning systems and workforce development, and research to continue to build the knowledge base in ways that will directly advance and inform future actions. The recommendations of this book provide an opportunity to improve the quality of the care and the education that children receive, and ultimately improve outcomes for children.
