Xem 1-20 trên 20 kết quả Learning by discovery
  • Want to learn the fundamentals of electronics in a fun, hands-on way? With Make: Electronics, you'll start working on real projects as soon as you crack open the book. Explore all of the key components and essential principles through a series of fascinating experiments. You'll build the circuits first, then learn the theory behind them! Step-by-step instructions and more than 500 full-color photographs and illustrations will help you use -- and understand -- electronics concepts and techniques.

    pdf351p hoa_can 29-01-2013 30 10   Download

  • Learning by Reading (LbR) aims at enabling machines to acquire knowledge from and reason about textual input. This requires knowledge about the domain structure (such as entities, classes, and actions) in order to do inference. We present a method to infer this implicit knowledge from unlabeled text. Unlike previous approaches, we use automatically extracted classes with a probability distribution over entities to allow for context-sensitive labeling.

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  • We present a novel approach to discovering relations and their instantiations from a collection of documents in a single domain. Our approach learns relation types by exploiting meta-constraints that characterize the general qualities of a good relation in any domain. These constraints state that instances of a single relation should exhibit regularities at multiple levels of linguistic structure, including lexicography, syntax, and document-level context.

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  • The instructional objective is the SPH/PHP’s statement of a measurable step it will achieve that leads to an instructional goal. Objectives capture the means by which an SPH/PHP will implement its stated mission, as specified in CEPH’s accreditation criteria. The goal in Figure 3 describes the general intent of the SPH/PHP to produce graduates who are able to use public health core knowledge. The related objective clearly states one way in which the institution intends to achieve this goal.

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  • We present a novel approach to weakly supervised semantic class learning from the web, using a single powerful hyponym pattern combined with graph structures, which capture two properties associated with pattern-based extractions: popularity and productivity. Intuitively, a candidate is popular if it was discovered many times by other instances in the hyponym pattern. A candidate is productive if it frequently leads to the discovery of other instances.

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  • In vision, it is sometimes possible to design networks from a task analysis of ~he problem, aided by the homogeneity of the domain. For example, Sejnowski & Hinton (1986) designed a network that can separate figure from ground for shapes with incomplete bounding contours. Constructing a network is much more difficult in an inhomogeneous domain like natural language. This problem has been partially overcome by the discovery of powerful learning algorithms that allow the strengths of connection in a network to be shaped by experience; ...

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  • The purpose of this book is to share with science and health professions educators the exciting discoveries that are being made by the application of team-based learning (TBL) to the special challenges of modern medical education. Professors in these disciplines everywhere face three daunting challenges. First, an enormous amount of information must be learned, and it keeps growing. Second, students must learn how to use and apply that information in contexts that vary enormously between clinical cases and populations of cases.

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  • As a prologue to these activities, the Research and Evaluation Division of BRAC (www.bracresearch.org) has carried out a review of the existing MNCH programmes in Bangladesh undertaken by the government, NGOs and private sectors to identify best practices and the factors behind successes and failures, thereby pinpointing gaps and challenges. This provides an evidence base to develop informed intervention components, approaches and strategies for the MNCH initiatives in the country and endow with directions for future advocacy efforts.

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  • People who pursue careers in Internal Medicine are drawn to the specialty by a love of patients, mechanisms, discovery, education, and therapeutics. We love hearing the stories told to us by our patients, linking signs and symptoms to pathophysiology, solving the diagnostic dilemmas, and proposing strategies to prevent and treat illness. It is not surprising given these tendencies that internists prefer to continue their life-long learning through problem solving. This book is offered as a companion to the remarkable 17th edition of Harrison’s Principles of Internal Medicine.

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  • Rediscovering Mathematics is an eclectic collection of mathematical topics and puzzles aimed at talented youngsters and inquisitive adults who want to expand their view of mathematics. By focusing on problem solving, and discouraging rote memorization, the book shows how to learn and teach mathematics through investigation, experimentation, and discovery. Rediscovering Mathematics is also an excellent text for training math teachers at all levels

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  • The study of biography has always held an important, if not explicitly stated, place in school curricula. The absence in schools of a class specifically devoted to studying the lives of the giants of human history belies the focus most courses have always had on people. From ancient times to the present, the world has been shaped by the decisions, philosophies, inventions, discoveries, artistic creations, medical breakthroughs, and written works of its myriad personalities.

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  • Editors of compilations such as this tend to stress in their prefaces that significant conceptual advances have been made recently, that novel technical developments have opened extraordinary opportunities for unprecedented discoveries and that the time seemed ripe to take stock and to point out developments which will advance the field in the near future. Well, all of this is true for this book too. It is also true that on such occasions we realize how much we have learned and yet how little we know.

    pdf582p chuyenphimbuon 21-07-2012 26 5   Download

  • Discovery, learning, and societal engagement are mutually supportive core missions of the research university. Transfer of knowledge to those in society who can make use of it for the general good contributes to each of these missions. These transfers occur through publications, training and education of students, employment of graduates, conferences, consultations, and collaboration as well as by obtaining rights to inventions and discoveries that qualify for patent protection (intellectual property, or IP) and licensing them to private enterprises.

    pdf119p lyly_5 23-03-2013 25 5   Download

  • The Eisenstein irreducibility critierion is part of the training of every mathematician. I first learned the criterion as an undergraduate and, like many before me, was struck by its power and simplicity. This article will describe the unexpectedly rich history of the discovery of the Eisenstein criterion and in particular the role played by Theodor Sch¨onemann.

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  • Engaging students throughout the process of learning career competencies is the goal of Criminal Law and Procedure for the Paralegal: A Systems Approach, Third Edition. Students are challenged to enhance their legal reasoning, critical thinking, and problemsolving skills by applying them to realistic case scenarios, analysis problems, electronic and traditional research exercises, and to numerous drafting, interviewing, discovery, and other typical paralegal tasks. The text also addresses the human element in the practice of criminal law, including the accompanying rewards and pitfalls.

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  • In previous tutorial , we learned about Bluetooth Device Discovery. In this tutorial we will learn ,how to make simple bluetooth connection .In this we will implement the code in which approval for connection is not required by the sender. Reciever automatically recieves the sent text. Here is the code for the Bluetooth Chat:-(2 .java files )

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  • “The central purpose of the University of Virginia is to enrich the mind by stimulating and sustaining a spirit of free inquiry directed to understanding the nature of the universe and the role of mankind in it. Activities designed to quicken, discipline, and enlarge the intellectual and creative capacities, as well as the aesthetic and ethical awareness, of the members of the University and to record, preserve, and disseminate the results of intellectual discovery and creative endeavor serve this purpose.

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  • We present a probabilistic topic model for jointly identifying properties and attributes of social media review snippets. Our model simultaneously learns a set of properties of a product and captures aggregate user sentiments towards these properties. This approach directly enables discovery of highly rated or inconsistent properties of a product. Our model admits an efficient variational meanfield inference algorithm which can be parallelized and run on large snippet collections.

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  • Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summarization as a two step learning problem building a generative model for pattern discovery and a regression model for inference. We calculate scores for sentences in document clusters based on their latent characteristics using a hierarchical topic model.

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  • This paper studies the problem of identifying erroneous/correct sentences. The problem has important applications, e.g., providing feedback for writers of English as a Second Language, controlling the quality of parallel bilingual sentences mined from the Web, and evaluating machine translation results. In this paper, we propose a new approach to detecting erroneous sentences by integrating pattern discovery with supervised learning models. Experimental results show that our techniques are promising. ...

    pdf8p hongvang_1 16-04-2013 18 1   Download

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