Xem 1-20 trên 670 kết quả Feedback
  • 360 Degree Feedback là gì? Phản hồi 360 độ (360 Degree Feedback) là phương pháp đánh giá nhân viên (thường ở cấp quản lý và lãnh đạo) bằng cách thu thập dữ liệu về họ trong những tình huống làm việc thực tế và về những phẩm chất hoạt động mà họ thể hiện thông qua quá trình tổng hợp thông tin từ những người tiếp xúc với cá nhân được đánh giá (giám đốc điều hành, quản lý, người đồng cấp, khách hàng hay đối tác…), nói chung là bất cứ ai đáng tin cậy ...

    pdf10p kimyen_ir 08-08-2010 228 92   Download

  • 360 Degree Feedback là gì? Phản hồi 360 độ (360 Degree Feedback) là phương pháp đánh giá nhân viên (thường ở cấp quản lý và lãnh đạo) bằng cách thu thập dữ liệu về họ trong những tình huống làm việc thực tế và về những phẩm chất hoạt động mà họ thể hiện thông qua quá trình tổng hợp thông tin từ những người tiếp xúc với cá nhân được đánh giá (giám đốc điều hành, quản lý, người đồng cấp, khách hàng hay đối tác…), nói chung là bất cứ ai đáng tin cậy ...

    pdf8p muadongamap222 11-05-2010 339 69   Download

  • What is a feedback? Good Feedback Makes Excellence More Visible Clarity of Feedback Good intention Level one: positive and negative feedback Level two: Shift controlling feedback to in informative feedback Level three: Co-designing feedback system The Need for Imagination Don’t have to be slave (phụ thuộc) to praise

    ppt20p sony_12 25-06-2013 33 9   Download

  • After initial retrieval results are presented, allow the user to provide feedback on the relevance of one or more of the retrieved documents. Use this feedback information to reformulate the query. Produce new results based on reformulated query. Allows more interactive, multi-pass process.

    ppt34p phuocvubk 26-02-2013 28 4   Download

  • Presents a new methodology for helping members of a group to arrive at carefully reasoned value judgments or decisions. The new procedure, called "qualitative controlled feedback," presents each group member with a common question, and each member is asked independently for both an answer to the question, and for reasons which he feels justify his answer. An intermediary collects all stated reason......

    pdf345p nunongnuna 01-04-2013 26 4   Download

  • This paper presents an open-domain textual Question-Answering system that uses several feedback loops to enhance its performance. These feedback loops combine in a new way statistical results with syntactic, semantic or pragmatic information derived from texts and lexical databases. The paper presents the contribution of each feedback loop to the overall performance of 76% human-assessed precise answers.

    pdf8p bunrieu_1 18-04-2013 25 4   Download

  • This paper addresses the issue of how linguistic feedback expressions, prosody and head gestures, i.e. head movements and face expressions, relate to one another in a collection of eight video-recorded Danish map-task dialogues. The study shows that in these data, prosodic features and head gestures significantly improve automatic classification of dialogue act labels for linguistic expressions of feedback.

    pdf7p hongdo_1 12-04-2013 14 2   Download

  • Verbal feedback is an important information source in establishing interactional rapport. However, predicting verbal feedback across languages is challenging due to languagespecific differences, inter-speaker variation, and the relative sparseness and optionality of verbal feedback. In this paper, we employ an approach combining classifier weighting and SMOTE algorithm oversampling to improve verbal feedback prediction in Arabic, English, and Spanish dyadic conversations.

    pdf6p hongdo_1 12-04-2013 26 2   Download

  • In this paper, we propose a novel ranking framework – Co-Feedback Ranking (CoFRank), which allows two base rankers to supervise each other during the ranking process by providing their own ranking results as feedback to the other parties so as to boost the ranking performance. The mutual ranking refinement process continues until the two base rankers cannot learn from each other any more. The overall performance is improved by the enhancement of the base rankers through the mutual learning mechanism.

    pdf4p hongphan_1 15-04-2013 23 2   Download

  • ( 'What you see is what you meant') is a user-interface technique which uses natural language generation (NLG) technology to provide feedback for user interactions. To date, the technology has been applied in a number of demonstrator applications, using customised, nonportable implementations. In this demonstration, we introduce a WYSIWYM library package, designed to be used as a modular component of a larger JAVA-based application.

    pdf4p bunthai_1 06-05-2013 22 2   Download

  • In a previous work of ours Chinnakotla et al. (2010) we introduced a novel framework for Pseudo-Relevance Feedback (PRF) called MultiPRF. Given a query in one language called Source, we used English as the Assisting Language to improve the performance of PRF for the source language. MulitiPRF showed remarkable improvement over plain Model Based Feedback (MBF) uniformly for 4 languages, viz., French, German, Hungarian and Finnish with English as the assisting language.

    pdf11p hongdo_1 12-04-2013 28 1   Download

  • The focus of this study is positive feedback in one-on-one tutoring, its computational modeling, and its application to the design of more effective Intelligent Tutoring Systems. A data collection of tutoring sessions in the domain of basic Computer Science data structures has been carried out. A methodology based on multiple regression is proposed, and some preliminary results are presented. A prototype Intelligent Tutoring System on linked lists has been developed and deployed in a collegelevel Computer Science class. ...

    pdf6p hongphan_1 15-04-2013 13 1   Download

  • This paper proposes a method for detecting errors in article usage and singular plural usage based on the mass count distinction. First, it learns decision lists from training data generated automatically to distinguish mass and count nouns. Then, in order to improve its performance, it is augmented by feedback that is obtained from the writing of learners. Finally, it detects errors by applying rules to the mass count distinction. Experiments show that it achieves a recall of 0.71 and a precision of 0.72 and outperforms other methods used for comparison when augmented by feedback. ...

    pdf8p hongvang_1 16-04-2013 25 1   Download

  • Implicit Feedback, in which an IR system unobtrusively monitors search behavior, removes the need for the searcher to explicitly indicate which documents are relevant (M. Morita and Y. Shinoda, 1994). The technique uses implicit relevance indications, although not being as accurate as explicit feedback, is proved can be an effective substitute for explicit feedback in interactive information seeking environments (R. White et al., 2002).

    pdf8p hongvang_1 16-04-2013 39 1   Download

  • We report on the development of a new automatic feedback model to improve information retrieval in digital libraries. Our hypothesis is that some particular sentences, selected based on argumentative criteria, can be more useful than others to perform well-known feedback information retrieval tasks.

    pdf8p hongvang_1 16-04-2013 22 1   Download

  • When rules of transfer-based machine translation (MT) are automatically acquired from bilingual corpora, incorrect/redundant rules are generated due to acquisition errors or translation variety in the corpora. As a new countermeasure to this problem, we propose a feedback cleaning method using automatic evaluation of MT quality, which removes incorrect/redundant rules as a way to increase the evaluation score. BLEU is utilized for the automatic evaluation.

    pdf8p bunbo_1 17-04-2013 11 1   Download

  • We present experimental evidence that providing naive users of a spoken dialogue system with immediate help messages related to their out-of-coverage utterances improves their success in using the system. A grammar-based recognizer and a Statistical Language Model (SLM) recognizer are run simultaneously. If the grammar-based recognizer suceeds, the less accurate SLM recognizer hypothesis is not used.

    pdf8p bunthai_1 06-05-2013 14 1   Download

  • This chapter presents the following content: Test input signals, performance of second – order systems, effects of a third pole & a zero on the second – order system response, the s – plane root location & the transient response, the steady – state error of feedback control systems, performance indices, the simplification of linear systems, system performance using control design software.

    pdf56p youcanletgo_04 17-01-2016 11 1   Download

  • Lecture Control system design: The stability of linear feedback systems include all of the following content: The concept of stability, the Routh – Hurwitz stability criterion, the stability of state variable systems, system stability using control design software.

    pdf24p youcanletgo_04 17-01-2016 14 1   Download

  • Lecture Control system design: Feedback control system characteristics presents the following content: Error signal analysis, sensitivity of control systems to parameter variations, disturbance signals in a feedback control system, control of the transient response, steady – state error, the cost of feedback, control system characteristics using control design software.

    pdf32p youcanletgo_04 17-01-2016 10 0   Download


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