scholarly journals A Dataset Complexity Measure for Analogical Transfer

Author(s):  
Fadi Badra

Analogical transfer consists in leveraging a measure of similarity between two situations to predict the amount of similarity between their outcomes. Acquiring a suitable similarity measure for analogical transfer may be difficult, especially when the data is sparse or when the domain knowledge is incomplete. To alleviate this problem, this paper presents a dataset complexity measure that can be used either to select an optimal similarity measure, or if the similarity measure is given, to perform analogical transfer: among the potential outcomes of a new situation, the most plausible is the one which minimizes the dataset complexity.

Author(s):  
Amine Labriji ◽  
Salma Charkaoui ◽  
Issam Abdelbaki ◽  
Abdelouhaed Namir ◽  
El Houssine Labriji

<p class="0abstract">The topic of identifying the similarity of graphs was considered as highly recommended research field in the Web semantic, artificial intelligence, the shape recognition and information research. One of the fundamental problems of graph databases is finding similar graphs to a graph query. Existing approaches dealing with this problem are usually based on the nodes and arcs of the two graphs, regardless of parental semantic links. For instance, a common connection is not identified as being part of the similarity of two graphs in cases like two graphs without common concepts, the measure of similarity based on the union of two graphs, or the one based on the notion of maximum common sub-graph (SCM), or the distance of edition of graphs. This leads to an inadequate situation in the context of information research. To overcome this problem, we suggest a new measure of similarity between graphs, based on the similarity measure of Wu and Palmer. We have shown that this new measure satisfies the properties of a measure of similarities and we applied this new measure on examples. The results show that our measure provides a run time with a gain of time compared to existing approaches. In addition, we compared the relevance of the similarity values obtained, it appears that this new graphs measure is advantageous and  offers a contribution to solving the problem mentioned above.</p>


1994 ◽  
Vol 33 (05) ◽  
pp. 454-463 ◽  
Author(s):  
A. M. van Ginneken ◽  
J. van der Lei ◽  
J. H. van Bemmel ◽  
P. W. Moorman

Abstract:Clinical narratives in patient records are usually recorded in free text, limiting the use of this information for research, quality assessment, and decision support. This study focuses on the capture of clinical narratives in a structured format by supporting physicians with structured data entry (SDE). We analyzed and made explicit which requirements SDE should meet to be acceptable for the physician on the one hand, and generate unambiguous patient data on the other. Starting from these requirements, we found that in order to support SDE, the knowledge on which it is based needs to be made explicit: we refer to this knowledge as descriptional knowledge. We articulate the nature of this knowledge, and propose a model in which it can be formally represented. The model allows the construction of specific knowledge bases, each representing the knowledge needed to support SDE within a circumscribed domain. Data entry is made possible through a general entry program, of which the behavior is determined by a combination of user input and the content of the applicable domain knowledge base. We clarify how descriptional knowledge is represented, modeled, and used for data entry to achieve SDE, which meets the proposed requirements.


2020 ◽  
Vol 72 (4) ◽  
pp. 41-57
Author(s):  
Marek Menkiszak

In the face of a new serious crisis in Europe caused by the coronavirus pandemic, Russia has taken an ambiguous position. On the one hand, it was spreading fake news and, on the other hand, it was providing Italy with symbolic support. Russia’s immediate goal was to persuade the European Union (EU) to reduce or lift sanctions. The new situation provides a new argument to those participants of the European debate who are in favour of normalisation and even reset of relations with Russia. Among them, the voice of France is particularly clear since its President Emanuel Macron has taken up the initiative to build the ‘architecture of trust and security’ with Russia. These proposals, which are now quite vague, are based on questionable  assumptions and deepen divisions in Europe and the crisis in transatlantic relations. By rising Moscow’s hopes for some form of (geo)political bargain, they in fact encourage Russia to continue its aggressive policy towards its European neighbours. An alternative approach based on several principles is needed in the debate on EU policy towards Russia: developing all five Mogherini’s points; maintaining sanctions against Russia until the reasons for their introduction cease to exist; symmetry of commitments and benefits related to limited cooperation with Russia; inviolability of key interests, security and sovereignty of EU and NATO member and partner states; and balancing the dialogue with the Russian authorities by supporting Russian civil society. Europe can survive without Russia but Russia cannot survive without Europe, which is why European policy needs consistency and strategic patience.


Author(s):  
Roxana Maier ◽  

Changing the relational environment from face-to-face to the online one led to new problems regarding the student classroom’s functionality, which led to the students’ difficulties in relation to the new situation and the adaptability process. In this new context brought by the pandemic, the relationship’s dynamic between student’s changes, as well as the one between students and teachers. The endeavour includes the analysis of a small group of students, who resorted to therapy throughout the lockdown, to remit the difficulties that emerged due to the teaching environment’s change from face-to-face to the online medium. The objectives’ focus highlighted the participatory behaviour’s optimization of the students in the new conditions, the enhancement of the students’ wellbeing’s, in order to optimally face the teaching process and finish the academic year.


Author(s):  
Ralf Bruns ◽  
Jürgen Dunkel

We propose the software architecture of a new generation of advisory systems using Intelligent Agent and Semantic Web technologies. Multi-agent systems provide a well-suited paradigm to implement negotiation processes in consultancy situations. Intelligent software agents act as clients and advisors using their knowledge in order to assist human users. In the proposed architecture the domain knowledge is semantically modeled by means of XML-based ontology languages such as OWL. Using an inference engine the agents reason on base of their knowledge to make decisions or proposals. The agent knowledge consists of different types of data: on the one hand private data, which has to be protected against unauthorized access, and on the other hand publicly accessible data spread over different web sites. Comparable to a real consultancy situation, an agent only reveals sensitive private data if it is indispensable for finding a solution. In addition, depending on the actual consultancy situation each agent dynamically expands its knowledge base by accessing OWL knowledge sources from the Internet. The usefulness of our approach is proved by the implementation of an advisory system whose objective is to develop virtual student advisers that render support to university students in order to successfully organize und perform their studies.


Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1166
Author(s):  
Cahit Aslan ◽  
Abdullah Kargın ◽  
Memet Şahin

The grand theory of action of Parsons has an important place in social theories. Furthermore, there are many uncertainties in the theory of Parsons. Classical math logic is often insufficient to explain these uncertainties. In this study, we explain the grand theory of action of Parsons in neutrosociology for the first time. Thus, we achieve a more effective way of dealing with the uncertainties in the theory of Parsons as in all social theories. We obtain a similarity measure for single-valued neutrosophic numbers. In addition, we show that this measure of similarity satisfies the similarity measure conditions. By making use of this similarity measure, we obtain applications that allow finding the ideal society in the theory of Parsons within the theory of neutrosociology. In addition, we compare the results we obtained with the data in this study with the results of the similarity measures previously defined. Thus, we have checked the appropriateness of the decision-making application that we obtained.


Author(s):  
Željko Mirković

In today’s creative documentary, a director often decides to simultaneously assume the role of producer. This new situation has its own advantages and disadvantages. On the one hand, it gives the director/producer more freedom in story development and in leading a project. In addition, he or she is able to work more flexibly with the film budget and has a chance to change the direction of the project while following the storyline without fear that a producer will refuse such ideas. This position gives the director/producer room to work with smaller budgets and to claim the entire profit in the end. On the other hand, he or she must be prepared to work within a high-risk situation and assume complete responsibility.The new digital economy has opened opportunities to identify the most innovative ways to integrate digital platforms into the phases of story development, direction, promotion, and distribution of documentaries, thus allowing filmmakers to identify their niche audiences, build new value with it and find the right ways for monetization and revenue increase. Article received: December 30, 2017; Article accepted: January 10, 2018; Published online: April 15, 2018; Preliminary report – Short Communications How to cite this article: Mirković, Željko: "Creative Documentary Today: Challenges and Opportunities for Directors and Producers." AM Journal of Art and Media Studies15 (2018): . doi: 10.25038/am.v0i15.240


2015 ◽  
Vol 10 (1) ◽  
pp. 7-23
Author(s):  
Katarzyna Ruchel-Stockmans

Abstract This article offers an analysis of Videograms of a Revolution (1992) by Harun Farocki and Andrej Ujica and The Pixelated Revolution (2011) by Rabih Mroue, which both reflect on the role of amateur recordings in a revolution. While the first deals with the abundant footage of the mass protests in 1989 Romania, revealing how images became operative in the unfolding of the revolution, the second shows that mobile phone videos disseminated by the Syrian protesters in 2011 respond to the desire of immediacy with the blurry, fragmentary images taken in the heart of the events. One of the most significant results of this new situation is the way image production steers the comportment of people involved in the events. Ordinary participants become actors performing certain roles, while the events themselves are being seen as cinematic. This increased theatricality of mass protests can thus be seen as an instance of blurring the lines between video and photography on the one hand and performance, theatre and cinema on the other.


2009 ◽  
Vol 4 (3-4) ◽  
pp. 108-114
Author(s):  
Dan Cristian Dabija ◽  
Monika A. Alt ◽  
Ioana N. Abrudan

Both on their home markets, as well as on the emerging ones - the case of Cluj-Napoca, Romania - European retailers face a new situation, by excellence a challenging one. On the one side, the competitive market has been in a continuous and constant expansion for several years and on the other side consumers become more and more sophisticated and choosy. Based on the accumulated experience they not only change their demands towards retailers, but also their perception of them. The present paper pursues a clear delineation through an empirical research of the elements or the facets of the marketing mix in a retail context. As it is already known, retailers use a specific mix in order to better position themselves on the market. As we shall prove, consumers are also able to ultimately perceive the factors by means of which retailers try to influence them, respectively to act over them.


2008 ◽  
pp. 371-380
Author(s):  
Takao Ito

One of the most important issues in data mining is to discover an implicit relationship between words in a large corpus and labels in a large database. The relationship between words and labels often is expressed as a function of distance measures. An effective measure would be useful not only for getting the high precision of data mining, but also for time saving of the operation in data mining. In previous research, many measures for calculating the one-to-many relationship have been proposed, such as the complementary similarity measure, the mutual information, and the phi coefficient. Some research showed that the complementary similarity measure is the most effective. The author reviewed previous research related to the measures in one-to-many relationships and proposed a new idea to get an effective one, based on the heuristic approach in this article.


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