1,720,956 research outputs found

    On the Proof of Lemmata in the Statistical Model (Computer Algebra --Theory and its Applications)

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    学習モデルを中間ユニット数がHの3層パーセプトロンとする. 真の分布を実現するパラメータの集合は, 活性化関数を級数展開させると, 有限個の多項式の零点集合として表される. 初めに, H=2のとき, 真の分布が中間ユニット数が0と1で実現されるときの集合を求める. 次に, 一般のHに対して, 真の分布より少ない中間ユニット数H0<Hで実現されるときの集合を考える.The statistical model is a three-layer neural network with H hidden units. (By using taylor expansion of activation function , t he set of parameters that true density function is realizable by a statistical model is a common zero points defined by finite polynomials. First, in this case of hidden units equals two, we calculate equations defining equation of the algebraic set. The algebraic set is the set of parameters such that true density function is realizable by a statistical model with zero or one hidden unit. Next, for the general case, we determine equations define the algebraic set. The algebraic set is the set of parameters that true density function is realizable by a statistical model with Ho is less than H hidden unit

    On the Over-fitting in the Neural Network (Computer Algebra - Theory and its Applications)

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    第1に, フィッシャーのアイリスデータに対してニューラルネットワークを作成し, 2種類(setosa, versicolor)を学習させる.次に, 学習済みのニューラルネットワークにおいて3種類(setosa, versicolor, virginica)を訓練データ, 1種類(virginica)をテストデータとして学習させる.このときテストデータの影響を過剰に受けてしまう状態について分類表を作成する.第2に, 学習モデル(中間ユニット数が1000である3層パーセプトロン)を作成し, 真の分布に従う訓練データを学習させる.このときニューラルネットワークの出力が訓練データを過剰に近似して過学習が起きる.この状態について訓練データとテストデータに対する損失を比較して調べる.また, 訓練データとテストデータに対して, 学習後のニューラルネットの出力をグラフで表す.次に, 学習モデル(中間ユニット数が2である3層パーセプトロン)を作成し, 訓練データを学習させる.このときニューラルネットワークの出力が訓練データを過剰に近似せず過学習が起こらない.この状態について学習の過程で変化するRMS重みをグラフで表す.最後に学習後の重みの収束値が真の分布を実現する学習モデルのパラメータ集合を満たすことを確かめる

    On the analysis of singularity structure in learning (Computer Algebra - Theory and its Applications)

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    3層パーセプトロンである学習モデルの中間ユニット数が2から1に変化する特異領域の近くでは学習が停滞するプラトーが起きる[1].Guoらは特異領域の近くの学習のダイナミクスを5つのパターンに分けて考察している[2].学習モデルの座標系を変換することにより,変化の速いパラメータを固定して変化の遅いパラメータの軌道を調べる[3]. 甘利らによって特異領域の近くの学習の安定性やダイナミクスが求められている[1], [4].第1に学習モデルとしてMathmaticaにおいてニューラルネットワークを作成する第2に特異領域の近くにある真の分布が学習モデルによって実現される場合,学習モデルの初期値を変えることによって臨界直線に影響を受けて変化するダイナミクスについて考察する.第3に特異領域にある真の分布が学習モデルによって実現される場合,学習損失が減少するが,汎化損失が増加する過学習が起き,真の分布が学習モデルによって実現されない場合,学習の初期に汎化損失が学習損失より減少して小さくなり,増加して大きくなる過剰般化が起きる.過学習,過剰汎化についてパラメータの変化を調ベ,学習・汎化損失曲面上のダイナミクスの考察をする

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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