نتایج جستجو برای topic familiarity

تعداد نتایج: 143888  

2002
Bénédicte Le Grand, Michel Soto,

Topic maps are very powerful as they allow to organize information, but they may be very large. Intuitive visual user interfaces may significantly reduce the cognitive load of the user when working with these complex structures. Visualization is a promis ing technique for both enhancing users' perception of structure in large information spaces and providing navigation facilities. It also enabl...

2011

The following articles are being highlighted as part of Circulation’s Topic Review series. This series will summarize the most important manuscripts, as selected by the editors, published in Circulation and the Circulation subspecialty journals. The studies included in this article represent the most read manuscripts published on the topic of cardiovascular surgery and transplantation in 2009 a...

Journal: :CoRR 2016
Mijung Park, James R. Foulds, Kamalika Chaudhuri, Max Welling,

We develop a privatised stochastic variational inference method for Latent Dirichlet Allocation (LDA). The iterative nature of stochastic variational inference presents challenges: multiple iterations are required to obtain accurate posterior distributions, yet each iteration increases the amount of noise that must be added to achieve a reasonable degree of privacy. We propose a practical algor...

1997

The purpose of the present work is to characterize the behavior pattern of deliberated retry in logicist terms. Deliberated retry is where an agent pursues goals by trying actions or action sequences that are likely to achieve the goal, and where the agent responds to failure by trying an alternative plan or action sequence. (We identify plans with action sequences). The paper proposes a rst-or...

2012
Peter Krafft, Juston Moore, Bruce A. Desmarais, Hanna M. Wallach,

We introduce a new Bayesian admixture model intended for exploratory analysis of communication networks—specifically, the discovery and visualization of topic-specific subnetworks in email data sets. Our model produces principled visualizations of email networks, i.e., visualizations that have precise mathematical interpretations in terms of our model and its relationship to the observed data. ...

2016
Akihiro Tamura, Eiichiro Sumita,

This study proposes the bilingual segmented topic model (BiSTM), which hierarchically models documents by treating each document as a set of segments, e.g., sections. While previous bilingual topic models, such as bilingual latent Dirichlet allocation (BiLDA) (Mimno et al., 2009; Ni et al., 2009), consider only cross-lingual alignments between entire documents, the proposed model considers cros...

2017
Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang,

In a document, the topic distribution of a sentence depends on both the topics of preceding sentences and its own content, and it is usually affected by the topics of the preceding sentences with different weights. It is natural that a document can be treated as a sequence of sentences. Most existing works for Bayesian document modeling do not take these points into consideration. To fill this ...

2000
ALASTAIR McGOWAN, Neil Robinson,

The following article was initially presented at the Speciality Examination for Fellowship of the Faculty of Accident and Emergency Medicine. The examiners at that diet awarded it a high score. It is reproduced here as an example of what the Education and Examination Board of the Faculty believe a clinical topic review should be. The purpose of the clinical topic review in the Fellowship Examin...

2013

While the explosive increase in information published on the Web, researchers have to filter information when searching for conference related information. To make it easier for users to search related information, this paper uses Topic Maps and social information to implement ontology since ontology can provide the formalisms and knowledge structuring for comprehensive and transportable machin...

2004
Darina Dicheva, Christo Dichev, Martin Luther King,

To address the critical issues of findability, shareability and reusability of learning resources, we propose an authoring environment for building, maintaining, and using standardsbased, ontology-aware e-learning repositories. The proposed environment, TM4L (Topic Maps for Learning), is based on the new ISO standard XML Topic Maps (XTM).

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