745 research outputs found
A tücsök meg a hangyák
No full textThis children's book is composed of seven thick boards bound together. On the cover a grasshopper with moustache sits on a mushroom playing his fiddle as a row of ants marches by carrying or rolling food and an ant-baby. The next pages expand on their labors. They include a cut-out portion that looks past their hill to the flowers. On the following pages ants continue their workline while, I believe, young grasshoppers dance about and the older grasshopper continues to fiddle. Succeeding pages show more ant work, including carrying off a dead or exhausted ant on a stretcher. And we see lots of grasshopper fiddlers while other ants push carts full of food, both by day and by night. Soon there are rains and snows, and an ant finds the grasshopper lying next to his fiddle on the ground. The ants take him in, feed him, and dance to his music. I believe it is typical of the East Block countries that a Hungarian book was executed in Czechoslovakia. Might there have been a Czech original?Language note: Hungaria
It is not magic, it is smith: Comparison in a study of Jewish theology
No full textIn a search for a theoretical framework that would structure and orient a comparative analysis of diverse Jewish theological responses to the Holocaust, the author reached for J.Z. Smith’s discussions of comparative enterprise. The questions of similarity, difference and of the putative goal of comparison loomed large over her project. In J.Z. Smith’s work, the author found helpful clues, illuminating insights as well as somewhat confusing and counterintuitive examples
It is not magic, it is smith: Comparison in a study of Jewish theology
Full text linkIn a search for a theoretical framework that would structure and orient a comparative analysis of diverse Jewish theological responses to the Holocaust, the author reached for J.Z. Smith’s discussions of comparative enterprise. The questions of similarity, difference and of the putative goal of comparison loomed large over her project. In J.Z. Smith’s work, the author found helpful clues, illuminating insights as well as somewhat confusing and counterintuitive examples.acceptedVersion© 2019. This is the authors' accepted and refereed manuscript. Locked until 12 February 2021 due to copyright restrictions. The final authenticated version is available online at: https://doi.org/10.1163/15700682-12341460
Knowledge transfer across multilingual corpora via latent topics
No full textThis paper explores bridging the content of two different languages via latent topics. Specifically, we propose a unified probabilistic model to simultaneously model latent topics from bilingual corpora that discuss comparable content and use the topics as features in a cross-lingual,
dictionary-less text categorization task. Experimental
results on multilingual Wikipedia data show that the
proposed topic model effectively discovers the topic
information from the bilingual corpora, and the learned
topics successfully transfer classification knowledge to other languages, for which no labeled training data are available.sponsorship: Financed by the WebInsight (K.U.Leuven-Tsinghua collaboration BIL/008/008) and AMASS++ (IWT-SBO 060051) projects.status: Publishe
Identifying hidden contexts in classification
No full textIn this study we investigate how to identify hidden contexts from the data in classification tasks. Contexts are artifacts in the data, which do not predict the class label directly. For instance, in speech recognition task speakers might have different accents, which do not directly discriminate between the spoken words. Identifying hidden contexts is considered as data preprocessing task, which can help to build more accurate classifiers, tailored for particular contexts and give an insight into the data structure. We present three techniques to identify hidden contexts, which hide class label information from the input data and partition it using clustering techniques. We form a collection of performance measures to ensure that the resulting contexts are valid. We evaluate the performance of the proposed techniques on thirty real datasets. We present a case study illustrating how the identified contexts can be used to build specialized more accurate classifiers
Electron-electron interactions in a two-dimensional electron system in an Al0.15Ga0.85N/GaN heterostructure grown on p-type Si
No full textMetric factorization for exploratory analysis of complex data.
No full textHow to explore complex data? Often, several representations for each data object are available, the data are described by attributes of heterogeneous data type and/or each data object is characterized by many features. It is difficult to choose a suitable similarity measure and an appropriate data mining technique to get an unbiased overview on the information contained in complex data. In this paper, we introduce Metric Factorization as a novel data mining task. The goal of Metric Factorization is to discover the major alternative views of complex data. Our novel algorithm MF extends matrix factorization techniques to support metric data. We do not need to choose a single similarity measure but can just input any available metric. Metric Factorization builds automatically interesting basis spaces from a large variety of input metrics. Due to metric properties, the basis spaces can be further explored with standard techniques like Multidimensional Scaling. We relate the Metric Factorization task to data compression and demonstrate how ideas from information theory (Minimum Description Length principle) make the parametrization of MF optional. We further introduce the idea of landmark points to effectively compress and thus support large data sets. Extensive experiments demonstrate the benefits of our approach
Finding the optimal subspace for clustering.
No full textThe ability to simplify and categorize things is one of the most important elements of human thought, understanding, and learning. The corresponding explorative data analysis techniques -- dimensionality reduction and clustering -- have initially been studied by our community as two separate research topics. Later algorithms like CLIQUE, ORCLUS, 4C, etc. Performed clustering and dimensionality reduction in a joint, alternating process to find clusters residing in low-dimensional subspaces. Such a low-dimensional representation is extremely useful, because it allows us to visualize the relationships between the various objects of a cluster. However, previous methods of subspace, correlation or projected clustering determine an individual subspace for each cluster. In this paper, we demonstrate that it is even much more valuable to find clusters in one common low-dimensional subspace, because then we can study not only the intra-cluster but also the inter-cluster relationships of objects, and the relationships of the whole clusters to each other. We develop the mathematical foundation ORT (Optimal Rigid Transform) to determine an arbitrarily-oriented subspace, suitable for a given cluster structure. Based on ORT, we propose FOSSCLU (Finding the Optimal Sub Space for Clustering), a new iterative clustering algorithm. Our extensive experiments demonstrate that FOSSCLU outperforms the previous methods even in both aspects: clustering and dimensionality reduction
Linking experimental culture, improvisation capability and firm’s performance: a theoretical view
No full textPurposeThis study aims to investigate the causal relationships within an experimental culture of improvisation capability and firm performance, following the logic of “culture-capability-performance” and building on informal institution theory and dynamic capability theory.Design/methodology/approachData was mainly collected via on-site questionnaires from firm managers, and 196 valid questionnaires were analyzed using structural equation modeling to test the relationship among experimental culture, improvisation capability and firms’ performance.FindingsTrust and support had a positive impact on firm spontaneity, while the effect of action promotion and error tolerance was not significant. Action promotion, trust and support demonstrate substantial positive effects on the creativity of a firm. Both dimensions of improvisation capability positively and significantly influence a firm’s performance.Research limitations/implicationsThe research respondents were firm managers. Cross-sectional data were used to analyze the model, which may cause common method variance. The research context was limited to China, and the generalizability of the results needs to be considered.Practical implicationsFirms can cultivate a culture of trust and support to enhance their spontaneity and improvisation capability. They can encourage cross-departmental communication, empower employees with autonomy in decision-making, provide appropriate resource support for employees’ decisions and use praise and reward incentives to spur further innovation achievements.Originality/valueThis study addresses the gaps in a firm’s improvisation capability within a Chinese market context by theoretically and empirically examining the role of experimental culture and assessing the relationship among each of the dimensions of improvisation capability in relation to firm performance identified in this study
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