oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2020 ( 1 )

2019 ( 11 )

2018 ( 86 )

2017 ( 75 )

Custom range...

Search Results: 1 - 10 of 1811 matches for " Contextual Features "
All listed articles are free for downloading (OA Articles)
Page 1 /1811
Display every page Item
Cluster Analysis Based on Contextual Features Extraction for Conversational Corpus  [PDF]
Qi Chen, Yue Chen, Minghu Jiang
Journal of Computer and Communications (JCC) , 2015, DOI: 10.4236/jcc.2015.35004
Abstract:

Cluster analysis related to computational linguistics seldom concerned with Pragmatics level. Features of corpus on Pragmatics level related to specific situations, including backgrounds, titles and habits. To improve the accuracy of clustering for conversations collected from international students in Tsinghua University, it required contextual features. Here, we collected four-hundred conversations as a corpus and built it to Vector Space Model. With the Oxford-Duden Dictionary and other methods we modified the model and concluded into three groups. We testified our hypothesis through self-organizing map neural network. The result suggested that the modified model had a better outcome.

Born Rule and Noncontextual Probability  [PDF]
Fabrizio Logiurato, Augusto Smerzi
Journal of Modern Physics (JMP) , 2012, DOI: 10.4236/jmp.2012.311225
Abstract: We present a new derivation of the Born rule from the assumption of noncontextual probability (NCP). Within the theorem we also demonstrate the continuity of probability with respect to the amplitudes, which has been suggested to be a gap in Zurek’s and Deutsch’s approaches, and we show that NCP is implicitly postulated also in their derivations. Finally, physical motivations of NCP are given based on an invariance principle with respect to a resolution change of measurements and with respect to the principle of no-faster-than-light signalling.
CONTEXTUAL ADAPTABILITY PLATFORM FOR MOBILE AND UBIQUITOUS LEARNING:A STEP TOWARDS A PERVASIVE LEARNING ENVIRONMENT
Amal Elhamdaoui,Mounia Abik,Rachida Ajhoun
International Journal of Digital Information and Wireless Communications , 2011,
Abstract: The evolution and convergence of wireless technologies, mobile devices and sensors, has caused profound mutation in applications. Applications for e-learning are no exception to this trend; the mobile, ubiquitous and ambient learning have appeared next to the e-learning. Far from being simple extensions of distance learning, they pose several challenges. Most of learning content used in learning platforms are built to be consumed on broadband networks and powerful terminals. However, technological advances have allowed their consumption over low flow wireless networks, and terminals with limited resources. Consequently, there is a strong need for learning content adaptation systems. Within this article we study the learning pervasive environment that provides an access to information and activities through different context. We define the different dimensions of this context and describe our platform for dynamic adaptation of learning content that representing a brick of MADAR-Learning project.
Using Wikipedia as an External Knowledge Source for Supporting Contextual Disambiguation  [PDF]
Shahida Jabeen, Xiaoying Gao, Peter Andreae
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.512B034
Abstract: Every term has a meaning but there are terms which have multiple meanings. Identifying the correct meaning of a term in a specific context is the goal of Word Sense Disambiguation (WSD) applications. Identifying the correct sense of a term given a limited context is even harder. This research aims at solving the problem of identifying the correct sense of a term given only one term as its context. The main focus of this research is on using Wikipedia as the external knowledge source to decipher the true meaning of each term using a single term as the context. We experimented with the semantically rich Wikipedia senses and hyperlinks for context disambiguation. We also analyzed the effect of sense filtering on context extraction and found it quite effective for contextual disambiguation. Results have shown that disambiguation with filtering works quite well on manually disambiguated dataset with the performance accuracy of 86%.
Entropy at the Level of Individual Particles: Analysis of Maxwell’s Agent with a Hidden-Variable Theory  [PDF]
Dirk J. Pons, Arion D. Pons, Aiden J. Pons
Journal of Modern Physics (JMP) , 2016, DOI: 10.4236/jmp.2016.710113
Abstract: Problem: Maxwell’s Agent (MA) is a thought experiment about whether the second Law is violated at smaller scales. This is a complex problem because the scale dependencies are unclear for perfect gas assumptions, quantum coherence, thermalisation, and contextual measurement. Purpose: The MA is explored from a non-local hidden-variable (NLHV) perspective. Approach: The Cordus theory, a specific NLHV solution, was applied at macroscopic to fundamental scales. Physical realism requires the Agent be included in the analysis. Findings: The primary function is sorting, i.e. a one-time separation of species by some attribute. The thermodynamic MA situation is merely a special case for reducing disorder (entropy). A one-time extraction of energy is possible. This requires input energy, hence the device only has thermodynamic leverage and is not a perpetual motion device. Inefficiencies arise from thermalisation causing short mean free path of Brownian motion, perfect gases having minimal interaction with the gate, ambiguity about spatial location arising from quantum superposition, contextual measurement interfering with the particle velocity, and bremsstrahlung hysteresis losses occurring when the Agent operates. Implications: Entropy is a group property at the bulk level, not a characteristic of the individual particle, and can be reversed at an energy cost at the particle level. Originality: The explanation spans multiple levels from macroscopic down to fundamental, which is unusual. Achieving an explanation from the NLHV sector is novel. The theory accommodates superposition, irreversibility, entropy, contextual measurement, coherence-discord transition, and Brownian motion.
Self-Efficacy, Task Performance and Contextual Performance: A Sri Lankan Experience  [PDF]
U.W.M.R. Sampath Kappagoda
Journal of Human Resource and Sustainability Studies (JHRSS) , 2018, DOI: 10.4236/jhrss.2018.62034
Abstract: The relationship between self-efficacy and job performance has long been established. But, there is limited research on self-efficacy and different dimensions of job performance and the extent of the association has not been investigated comprehensively in the context of the Sri Lankan banking sector. Therefore, the purpose of this study was to investigate the impact of self-efficacy on task performance and contextual performance of the employees in the banking sector in Sri Lanka. The data were randomly collected from a sample of 176 managers and 357 non-managerial employees in the banking sector in Sri Lanka. A questionnaire was administered to the employees to measure their self-efficacy, task performance, and contextual performance. The collected data were analyzed using correlation coefficient and regression analysis. The results of the study indicated that self-efficacy had significantly and positively correlated with task performance and contextual performance. According to the findings, the employees’ trust on their capabilities to organize and execute courses of action required to accomplish the task has significantly and positively correlated with the behaviors that are directly related with the completion of the job and with the extra role supporting behaviors which are not directly related to the job.
Clinicopathological and Immunohistochemical Features of Triple Negative Breast Cancer  [PDF]
Heng Chen, Jinjun Li, Wei Tan
Advances in Breast Cancer Research (ABCR) , 2017, DOI: 10.4236/abcr.2017.64008
Abstract: Objective: To investigate the clinicopathological and immunohistochemical features of triple-negative breast cancer. Methods: The clinicopathological and immunohistochemical data (Ki-67, CK5/6, EGFR, E-Ca, SAM, P53, P63, FAS) of 199 female patients who were treated for breast cancer in thyroid and breast surgery of Xiaogan Central Hospital from January 2015 to December 2016 was retrospectively analyzed by using spss22.0 statistical software and chi-square analysis. Results: Triple-negative breast cancer (replaced by TNBC below) and non-triple negative breast cancer (replaced by non TNBC below) in age, tumor size, lymph node metastasis, SAM, P53, P63 and FAS have no statistical difference (P > 0.05,
Your database is obsolete: The promise of contextual bioinformatics
Martin Gollery
Bioinformation , 2007,
Abstract: Editorial
The Post-Modern Mind. A Reconsideration of John Ashbery’s “Self-Portrait in a Convex Mirror” (1975) from the Viewpoint of an Interdisciplinary History of Ideas  [PDF]
Roland Benedikter, Judith Hilber
Open Journal of Philosophy (OJPP) , 2012, DOI: 10.4236/ojpp.2012.21010
Abstract: This paper gives a short description of basic features of the dominating mindset in the Western world between the 1970s and today, often called “post-modern”, through a re-reading of John Ashbery’s poem “Self-Portrait in a Convex Mirror” (1975). In doing so, it applies the viewpoint of an interdisciplinary history of ideas. Since collective mindsets have become the most important contextual political factors, the implications are multiple.
A Novelty-Induced Change in Episodic (NICE) Context Account of Primacy Effects in Free Recall  [PDF]
Eddy J. Davelaar
Psychology (PSYCH) , 2013, DOI: 10.4236/psych.2013.49099
Abstract:

Formal cognitive models of episodic memory assume that during encoding list items become associated with a changing context representation. However, this representation is recency-biased and thus can not account for primacy effects under conditions that prevent rehearsal. In this paper, it is hypothesized that one source underlying primacy effects is the detection of novelty. In three experiments, it is shown how novelty at the perceptual and semantic level can explain the full serial position function of first recall probabilities, including primacy effects. It is proposed that an item becomes distinctive due to increase in the change within a distributed episodic context representation, induced by novelty detection. The theory makes three assumptions. First, items become associated with a distributed context representation. Second, the context representation changes with item presentation. Third, the rate of contextual change is related to the perceptual and conceptual difference computed between the presented item and the previous item (or items in the buffer). This theory captures primacy effects in first recall probabilities without recourse to a rehearsal process and provides a mechanistic account of distinctiveness.

Page 1 /1811
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.