The focus of this paper is a construction of better knowledge base in case-based classifier system. Our knowledge base structure is based on concept lattice where rules are built from its subconcept-superconcept relat...
详细信息
ISBN:
(纸本)9781605580463
The focus of this paper is a construction of better knowledge base in case-based classifier system. Our knowledge base structure is based on concept lattice where rules are built from its subconcept-superconcept relation. Since the lattice can only be constructed from inputs with binary attributes, descriptive and numeric attributes must be transformed to binary attributes. In this paper, we propose the transformation of numeric attributes to descriptive attributes using fuzzy set theory. We experiment on benchmark data sets, Car and Iris, to determine the performance in term of number of rules used and classification precision. The results show that trend of accuracy is proportional to the size of learning inputs. The number of rules used is relatively small compared with size of training data. Our case-based classifier produces very promising results in practice and can classify the new problem more accurate than traditional classifiers. Copyright 2008 ACM.
In recent years a huge number of online auctions that use Multi Agent systems have been created. As a result there are numerous auctions that provide the same product. In this case each customer can buy a product with...
详细信息
ISBN:
(纸本)1565553195
In recent years a huge number of online auctions that use Multi Agent systems have been created. As a result there are numerous auctions that provide the same product. In this case each customer can buy a product with the lowest possible price. But searching between auctions in terms of finding the suitable product can be time consuming for consumers and also providing products in different markets is a difficult task for suppliers. So the need for an autonomous agent in these types of markets is deeply felt. On the other side the structure of an auction mechanism that provides the environment for traders to operate their trades is vital. Despite all the research that has been done about online auctions, most of them were about single markets. But in real world the stocks and commodities of companies are listed and traded in different markets. There is a growing tendency towards research about online auctions and Market Design. Particularly in recent years CAT (CATallactics) game has provided an important opportunity to develop and test new techniques in this field. In this paper after introducing CAT game and PersianCAT agent, we want to challenge the conventional accepting policy used in stock markets like New York Stock Exchange and provide a better solution that improves the general performance of the markets.
Short texts clustering is one of the most difficult tasks in natural language processing due to the low frequencies of the document terms. We are interested in analysing these kind of corpora in order to develop novel...
详细信息
ISBN:
(纸本)9783540781349
Short texts clustering is one of the most difficult tasks in natural language processing due to the low frequencies of the document terms. We are interested in analysing these kind of corpora in order to develop novel techniques that may be used to improve results obtained by classical clustering algorithms. In this paper we are presenting an evaluation of different internal clustering validity measures in order to determine the possible correlation between these measures and that of the F-Measure, a well-known external clustering measure used to calculate the performance of clustering algorithms. We have used several short-text corpora, in the experiments carried out. The obtained correlation with a particular set of internal validity measures let us to conclude that some of them may be used to improve the performance of text clustering algorithms.
Jane sees 50 compiler errors as a challenge. John sees them as defeat. Psychology research suggests these contrasting reactions may stem from students' self-theories, or their beliefs about themselves. Jane's ...
详细信息
ISBN:
(纸本)9781605582160
Jane sees 50 compiler errors as a challenge. John sees them as defeat. Psychology research suggests these contrasting reactions may stem from students' self-theories, or their beliefs about themselves. Jane's reaction is characteristic of a growth mindset, the idea that with hard work and persistence, one's intelligence can increase. John's behavior is in line with a fixed mindset, the belief that individuals are born with a certain amount of intelligence and there is little they can do to change it. Numerous studies of self-theories have shown that students with a growth mindset perform better in academic settings;they cope more effectively with challenges, maintain higher grades, and are less susceptible to stereotype threat. In this study we attempted a "saying is believing" intervention to encourage CS1 students to adopt a growth mindset both in general and towards programming. Despite notable success of this type of intervention in a non-CS context, our results offered few statistically significant differences both from pre-survey to post-survey and between control and intervention groups. Further, the statistically significant results we did find differed in direction between institutions (some students exhibited more growth response, others less). We analyzed further evidence to explore possible confounding issues including whether our intervention even registered with students and how students interpreted the questions which we used to assess their self-theories. Copyright 2008 ACM.
The delay of a circuit implemented in a Lookup table (LUT) based Field-Programmable Gate Arrays (FPGAs) is a combination of routing delays, and logic block delays. However most of an FPGA's area is devoted to prog...
详细信息
The multiobjective Quadratic Assignment Problem (mQAP) is considered as one of the hardest optimization problems but with many real-world applications. Since it may not be possible to simply weight the importance of e...
详细信息
The Modeling in softwareengineering (MiSE) workshops are a collaboration between the ICSE and MoDELS research communities, with a focus on using models to facilitate software development.
ISBN:
(纸本)9781605580791
The Modeling in softwareengineering (MiSE) workshops are a collaboration between the ICSE and MoDELS research communities, with a focus on using models to facilitate software development.
In today's Web environment, many enterprises decide to implement and publish their applications on the Internet using Web services technology. In many cases, a single service is not sufficient to fulfill the user&...
详细信息
In today's Web environment, many enterprises decide to implement and publish their applications on the Internet using Web services technology. In many cases, a single service is not sufficient to fulfill the user's request. To solve this problem, services should be combined together. Therefore, composition of Web services is one of the recent critical issues. A number of approaches have been presented, to tackle this problem. In this paper, we categorize these approaches into four categories (workflow-based, AI-planning based, syntactic-based, and semantic-based). Then, we compare these approaches based on some criteria (like QoS, scalability, and correctness). Investigation of that classification will help researchers who are working on service composition to deliver more applicable solutions.
Automatic verification by means of extended static checking (ESC) has seen some success in industry and academia due to its lightweight and easyto- use nature. Unfortunately, ESC comes at a cost: A host of logical and...
详细信息
暂无评论