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Learning with cases

Xem 1-20 trên 104 kết quả Learning with cases
  • How to Prepare a Case Study While there is no one definitive "Case Method" or approach, there are common steps that most approaches recommend be followed in tackling a case study. It is inevitable that different lecturers will tell you to do things differently, this is part of life and will also be part of working for others. This variety is beneficial since it will show you different ways of approaching decision making.

    doc11p yenlychu 08-04-2013 60 10   Download

  • Antecedents and Consequence of international Joint Venture Learning: The Case of Vietnam. This emp irical study addresses factors associated with learning in international joint ventures with data collected in Vietnam. Drawing f rom the p revious literature in learning through alliances, this research p resents and tests a theoretical model linking IJV learning, its antecedents and consequence.

    pdf14p tranminhluanluan 28-05-2018 14 0   Download

  • We study the issue of porting a known NLP method to a language with little existing NLP resources, specifically Hebrew SVM-based chunking. We introduce two SVM-based methods – Model Tampering and Anchored Learning. These allow fine grained analysis of the learned SVM models, which provides guidance to identify errors in the training corpus, distinguish the role and interaction of lexical features and eventually construct a model with ∼10% error reduction.

    pdf8p hongvang_1 16-04-2013 39 4   Download

  • It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always random attention slips but could result from different biases towards the classification categories, at least for the harder-to-decide cases. Under an annotation generation model that takes this into account, there is a hazard that some of the training instances are actually hard cases with unreliable annotations.

    pdf8p hongphan_1 14-04-2013 26 3   Download

  • We explore how active learning with Support Vector Machines works well for a non-trivial task in natural language processing. We use Japanese word segmentation as a test case. In particular, we discuss how the size of a pool affects the learning curve. It is found that in the early stage of training with a larger pool, more labeled examples are required to achieve a given level of accuracy than those with a smaller pool. In addition, we propose a novel technique to use a large number of unlabeled examples effectively by adding them gradually to a pool. ...

    pdf8p bunmoc_1 20-04-2013 32 2   Download

  • Instructional designers generate plans for creating effective, effi cient, and appealing instruction, and technical experts, like Adobe ® Flash ™ programmers, implement those plans. Sometimes, instructional designers and technical experts work with an entire team, with a variety of skills, to implement an instructional project. Teams can consist of not only Flash programmers and instructional designers, but also subject - matter experts, graphic designers, writers, audio experts, and video experts.

    pdf333p taurus23 27-09-2012 100 24   Download

  • If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.

    pdf322p hoa_can 26-01-2013 58 17   Download

  • CoffeeScript Programming with jQuery, Rails, and Node.js Learn CoffeeScript programming with the three most popular web technologies around Michael Erasmus All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented.

    pdf140p phungnguyet_123 20-02-2013 59 12   Download

  • Invite you to consult the text book The case of the disappearing sugar below for further reference in the process of teaching English to children, with illustrated images for specific service to help children easily absorb, with the parents have little English beginner, this is useful references.

    pdf8p thieulam5782 04-10-2015 42 9   Download

  • Scripted GUI Testing with Ruby is a practical, quick-moving tutorial based on real life, and real-world GUI applications. Right out of the gate you'll start working with code to drive a desktop GUI. You'll discover the kinds of gotchas and edge cases that don't exist in simple, toy programs. As you add more tests, you'll learn how to organize your test code and write lucid examples. The result is a series of "smoke tests" team will run on Continuous Integration servers.

    pdf182p goshop_123 26-04-2013 66 5   Download

  • A method for resolving the ellipses that appear in Japanese dialogues is proposed. This method resolves not only the subject ellipsis, but also those in object and other grammatical cases. In this approach, a machine-learning algorithm is used to select the attributes necessary for a resolution. A decision tree is built, and used as the actual ellipsis resolver. The results of blind tests have shown that the proposed method was able to provide a resolution accuracy of 91.7% for indirect objects, and 78.7% for subjects with a verb predicate. ...

    pdf8p bunrieu_1 18-04-2013 40 3   Download

  • We describe a case study in which a memory-based learning algorithm is trained to simultaneously chunk sentences and assign grammatical function tags to these chunks. We compare the algorithm’s performance on this parsing task with varying training set sizes (yielding learning curves) and different input representations. In particular we compare input consisting of words only, a variant that includes word form information for lowfrequency words, gold-standard POS only, and combinations of these. ...

    pdf8p bunmoc_1 20-04-2013 49 3   Download

  • This paper proposes to solve the bottleneck of finding training data for word sense disambiguation (WSD) in the domain of web queries, where a complete set of ambiguous word senses are unknown. In this paper, we present a combination of active learning and semi-supervised learning method to treat the case when positive examples, which have an expected word sense in web search result, are only given. The novelty of our approach is to use “pseudo negative examples” with reliable confidence score estimated by a classifier trained with positive and unlabeled examples.

    pdf4p hongphan_1 15-04-2013 46 2   Download

  • A hybrid system is described which combines the strength of manual rulewriting and statistical learning, obtaining results superior to both methods if applied separately. The combination of a rule-based system and a statistical one is not parallel but serial: the rule-based system performing partial disambiguation with recall close to 100% is applied first, and a trigram HMM tagger runs on its results. An experiment in Czech tagging has been performed with encouraging results.

    pdf8p bunrieu_1 18-04-2013 22 2   Download

  • In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs). This allows us to automatically learn the rewrite rules that describe a non trivial set of entailment cases. The experiments with the data sets of the RTE 2005 challenge show an improvement of 4.4% over the state-of-the-art methods.

    pdf8p hongvang_1 16-04-2013 22 1   Download

  • Learning to Associate Scenes with Spatial Terms portrayed in the scene. It is to learn to associate all applicable terms to novel scenes. The T R is restricted to be a single point for the time being; current work is directed at addressing the more general case of an arbitrarily shaped TR. Another aspect of the task is that learning must take place in the absence of explicit negative instances. This condition is imposed so that the conditions under which learning takes place will be similar in this respect to those under which children learn. Given this, there are two...

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  • We describe a methodology for learning a disambiguation model for deep pragmatic interpretations in the context of situated task-oriented dialogue. The system accumulates training examples for ambiguity resolution by tracking the fates of alternative interpretations across dialogue, including subsequent clarificatory episodes initiated by the system itself. We illustrate with a case study building maximum entropy models over abductive interpretations in a referential communication task.

    pdf9p bunthai_1 06-05-2013 20 1   Download

  • The main purpose of this study is to identify the relationships between learning approach and various demographic factors. With these relationships identified, students’ learning approach can be predicted, and even in some case if we can change the factors students can adapt their learning approach toward deeper-oriented.

    pdf13p vinhbinhnguyen 14-06-2017 21 1   Download

  • Related with the interactive learning approach presented in this article aims at mentioning to some characteristics of the interactive environment in B-learning and some theoretical basis of the relationship between interactive learning in B-learning and competency based learning in B-learning. A framework for interactivity and some of measures to enhance interaction in competency based learning in B-learning, through survey, research and interviews in a specific case will also be given.

    pdf8p danhvi95 05-12-2018 7 0   Download

  • This paper investigates the effect of adult education on income growth in developing countries worldwide with an emphasis on the case of Vietnam. The Vector Autoregressive model for panel data (Panel VAR) is employed to examine any possible two-way causality between a pair of variables.

    pdf9p danhnguyentuongvi27 19-12-2018 13 0   Download

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