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2012 Conference on Technologies and Applications of Artificial Intelligence最新文献

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Connect6 Programs on Mobile Devices Connect6移动设备上的程序
2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.47
Ji-Hong Zheng, C. Hu, I-Chen Wu, Wen-Jie Tseng, Ching-Hsuan Wei, Hung-Hsuan Lin, Chieh-Min Chang, Hao-Hua Kang, Hsiu-Chuan Lin
{"title":"Connect6 Programs on Mobile Devices","authors":"Ji-Hong Zheng, C. Hu, I-Chen Wu, Wen-Jie Tseng, Ching-Hsuan Wei, Hung-Hsuan Lin, Chieh-Min Chang, Hao-Hua Kang, Hsiu-Chuan Lin","doi":"10.1109/TAAI.2012.47","DOIUrl":"https://doi.org/10.1109/TAAI.2012.47","url":null,"abstract":"In this demonstration, we port our current Connect6 program, NCTU6, to mobile devices, such as iOS devices, Android devices. However, computing powers of mobile devices are also relatively weaker when compared with high-end machines. For example, the CPU speeds of mobile devices are about 1/5 to 1/8 of those of desktops, and the memory of mobile devices is usually limited to several megabytes. In this demonstration, we tune the program NCTU6 to fit in mobile devices, while maintaining reasonable strength. The program also won the silver medal in TCGA 2012. In addition, we also support Connect6 puzzles in the program.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124849412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Adaptive Weighted Nearest Feature Space Analysis and Its Application to Feature Extraction 自适应加权最近邻特征空间分析及其在特征提取中的应用
2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.67
Lijun Yan, Cong Wang, Jeng-Shyang Pan
{"title":"Adaptive Weighted Nearest Feature Space Analysis and Its Application to Feature Extraction","authors":"Lijun Yan, Cong Wang, Jeng-Shyang Pan","doi":"10.1109/TAAI.2012.67","DOIUrl":"https://doi.org/10.1109/TAAI.2012.67","url":null,"abstract":"In this paper, a new feature extraction algorithm named Adaptive Weighted Nearest Feature Space Analysis (AWNFSA) is proposed. AWNFSA is a Nearest Feature Space (NFS) based subspace learning approach. In Discriminant Nearest Feature Space Analysis (DNFSA) algorithm based on NFS, it may lead the result into misclassification when the between class scatter is very big or within class scatter is very small. Different from DNFSA, AWNFSA evaluates the effect of two scatter for classification through choosing their weights adaptively. The proposed AWNFSA is applied to image classification on ORL face Database. The experimental results demonstrate the efficiency of the proposed AWNFSA.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114750231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Learning-Based Framework to Utilize E-HowNet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions 利用E-HowNet本体和维基百科资源生成选择题的基于学习的框架
2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.38
Min-Huang Chu, Wen-Yu Chen, Shou-de Lin
{"title":"A Learning-Based Framework to Utilize E-HowNet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions","authors":"Min-Huang Chu, Wen-Yu Chen, Shou-de Lin","doi":"10.1109/TAAI.2012.38","DOIUrl":"https://doi.org/10.1109/TAAI.2012.38","url":null,"abstract":"This paper proposes a framework that automatically generates multiple-choice questions. Unlike most other similar works that focus on generating questions for English proficiency tests, this paper provides a framework to generate factual questions in Chinese. We have decomposed this problem into several sub-tasks: a) the identification of sentences that contain factual knowledge, b) the identification of the query term from each factual sentence, and c) the generation of distractors. Learning-based approaches are applied to address the first two problems. We then propose a way to generate distractors by using E-How Net ontology database and Wikipedia sources. The system was evaluated through user study and test theory, and achieved a satisfaction rate of up to 70.6%.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125092680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Solving the Slitherlink Problem 解决滑动链接问题
2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.36
Tung-Ying Liu, I-Chen Wu, Der-Johng Sun
{"title":"Solving the Slitherlink Problem","authors":"Tung-Ying Liu, I-Chen Wu, Der-Johng Sun","doi":"10.1109/TAAI.2012.36","DOIUrl":"https://doi.org/10.1109/TAAI.2012.36","url":null,"abstract":"Slither link is one of challenging puzzle games to human and computer players. In this paper, we propose an efficient method to solve Slither link puzzles. After using this method, we can solve each of 10,000 25x30 puzzles given in [9] within 0.05 seconds. Without using the method, it takes at least 10 minutes to solve some of these puzzles.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127023508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
System Demonstration for Generic Game Development Framework 通用游戏开发框架的系统演示
2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.55
Hao-Yun Liu, I-Chen Wu, Hao-Hua Kang, Ting-Fu Liao
{"title":"System Demonstration for Generic Game Development Framework","authors":"Hao-Yun Liu, I-Chen Wu, Hao-Hua Kang, Ting-Fu Liao","doi":"10.1109/TAAI.2012.55","DOIUrl":"https://doi.org/10.1109/TAAI.2012.55","url":null,"abstract":"In this demonstration, we show a software framework for generic game development, including game record editing and job-level (JL) computing. For the former, the framework supports the display and editing of game positions and the browsing of the game position tree. Currently, we have developed game record editors for Connect6, Go, Chinese Chess, Mahjong, etc. In this demonstration, we show how easily an editor for the game Tic-Tac-Toe is built. For the latter, the framework supports job submission to a volunteer computing system, named Computer Game Desktop Grid developed by our team, to help solve or analyze game positions. Currently, we support JL proof number search, JL alpha-beta search, and JL Monte-Carlo tree search. In this demonstration, we show how easily JL-PNS is designed.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122915605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Duplication Detection for Software Bug Reports Based on BM25 Term Weighting 基于BM25词权的软件Bug报告重复检测
2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.20
Cheng-Zen Yang, Hung Du, Sin-Sian Wu, Ing-Xiang Chen
{"title":"Duplication Detection for Software Bug Reports Based on BM25 Term Weighting","authors":"Cheng-Zen Yang, Hung Du, Sin-Sian Wu, Ing-Xiang Chen","doi":"10.1109/TAAI.2012.20","DOIUrl":"https://doi.org/10.1109/TAAI.2012.20","url":null,"abstract":"Handling bug reports is an important issue in software maintenance. Recently, detection on duplicate bug reports has received much attention. There are two main reasons. First, duplicate bug reports may waste human resource to process these redundant reports. Second, duplicate bug reports may provide abundant information for further software maintenance. In the past studies, many schemes have been proposed using the information retrieval and natural language processing techniques. In this thesis, we propose a novel detection scheme based on a BM25 term weighting scheme. We have conducted empirical experiments on three open source projects, Apache, ArgoUML, and SVN. The experimental results show that the BM25-based scheme can effectively improve the detection performance in nearly all cases.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125627930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 25
Disease Risk Prediction by Mining Personalized Health Trend Patterns: A Case Study on Diabetes 基于个性化健康趋势模式的疾病风险预测——以糖尿病为例
2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.53
Guo-Cheng Lan, Chao-Hui Lee, Yu-Yen Lee, V. Tseng, Jin-Shang Wu, Chu-Yu Chin, Miin-Luen Day, Shyh-Chyi Wang, Ching-Nain Chang, Shyr-Yuan Cheng
{"title":"Disease Risk Prediction by Mining Personalized Health Trend Patterns: A Case Study on Diabetes","authors":"Guo-Cheng Lan, Chao-Hui Lee, Yu-Yen Lee, V. Tseng, Jin-Shang Wu, Chu-Yu Chin, Miin-Luen Day, Shyh-Chyi Wang, Ching-Nain Chang, Shyr-Yuan Cheng","doi":"10.1109/TAAI.2012.53","DOIUrl":"https://doi.org/10.1109/TAAI.2012.53","url":null,"abstract":"Health examination has played an important role for maintaining people's health since it can not only help people understand their own health conditions clearly but also avoid missing the best timing of disease treatment. However, in current health examination systems, people get only a basic report from single health examination and no advanced health risk analysis is provided. In this paper, we proposed an effective mechanism for chronic disease risk prediction by mining the data containing historical health records and personal life style information. Value change trends of the data are important for disease status prediction, and we defined significant ones as health risk patterns in our mechanism. Risks of a chronic disease can be predicted early with a mechanism built with our health risk patterns and it also proven work well through experimental evaluations on real datasets. Our method outperformed traditional mechanism in terms of accuracy, precision and sensitivity for predicting the risk of diabetes. In particular, insightful observations show that the consideration of life-style information can effectively enhance whole performance for risk prediction. Moreover, classification rules produced by our mechanism which integrates C4.5 and CBA provide physicians disease related health risk patterns such that appropriate treatments could be given to people for disease prevention.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128232461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
The Design of Evolvable Hardware Image Filters Using Fuzzy Sets 基于模糊集的可进化硬件图像滤波器设计
2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.14
Chih-Hung Wu, Chien-Jung Chen, Chin-Yuan Chiang
{"title":"The Design of Evolvable Hardware Image Filters Using Fuzzy Sets","authors":"Chih-Hung Wu, Chien-Jung Chen, Chin-Yuan Chiang","doi":"10.1109/TAAI.2012.14","DOIUrl":"https://doi.org/10.1109/TAAI.2012.14","url":null,"abstract":"This study deals with the design of evolvable hardware(EHW) based image filters using fuzzy sets. Two indicators, similarity and divergence, are defined as fuzzy sets for describing the relations of pixels contained in a sliding window. In the proposed method, each pixel to be recovered is analyzed by the fuzzy sets and labeled as the associated noise type. Multiple EHW-based image filters, each of which is trained supervisedly by the pixels belonging to the same noise type, are built simultaneously. In the recovery phase, the recovering value is the fuzzy weighted summed of the outputs from the filters. Because each image filter is dedicated to a specific type of noise, it can recover pixels of the noise type more accurately. With the proposed method, the efficiency of training EHW models and accuracy of image filtering are both improved. This paper evaluates and compares the performance of the proposed method with other ones.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134574827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Feature Reduction for Text Categorization Using Cluster-Based Discriminant Coefficient 基于聚类判别系数的文本分类特征约简
2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.16
Li-Ju Gao, Been-Chian Chien
{"title":"Feature Reduction for Text Categorization Using Cluster-Based Discriminant Coefficient","authors":"Li-Ju Gao, Been-Chian Chien","doi":"10.1109/TAAI.2012.16","DOIUrl":"https://doi.org/10.1109/TAAI.2012.16","url":null,"abstract":"Text classification is an important research topic for managing numerous electronic documents. Feature reduction is the key issue for text classification with high dimensional keywords. A document analysis method called discriminant coefficient was proposed to reduce features and achieve high precision text classification. However, the main problem of the discriminant based feature reduction method is that the final number of reduced features is exactly equal to the number of document classes. Although the precisions of classification are high in such a method, the recalls are relatively low. In this paper, we propose an improvement on the analyzing method indiscriminant coefficients. We apply a simple clustering method to distinguish the documents in each document class to reserve hidden differences among keywords in the same class. The clustering results can help to adjust the number of reduction features flexibly. The experimental results show that the proposed clustering mechanism supports adaptive features reduction and both of the recall and F1 measurements are improved.","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124832190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Strategic Choices: Small Budgets and Simple Regret 战略选择:小预算和简单的遗憾
2012 Conference on Technologies and Applications of Artificial Intelligence Pub Date : 2012-11-16 DOI: 10.1109/TAAI.2012.35
Cheng-Wei Chou, Ping-Chiang Chou, Chang-Shing Lee, D. St-Pierre, O. Teytaud, Mei-Hui Wang, Li-Wen Wu, Shi-Jim Yen
{"title":"Strategic Choices: Small Budgets and Simple Regret","authors":"Cheng-Wei Chou, Ping-Chiang Chou, Chang-Shing Lee, D. St-Pierre, O. Teytaud, Mei-Hui Wang, Li-Wen Wu, Shi-Jim Yen","doi":"10.1109/TAAI.2012.35","DOIUrl":"https://doi.org/10.1109/TAAI.2012.35","url":null,"abstract":"In many decision problems, there are two levels of choice: The first one is strategic and the second is tactical. We formalize the difference between both and discuss the relevance of the bandit literature for strategic decisions and test the quality of different bandit algorithms in real world examples such as board games and card games. For exploration-exploitation algorithm, we evaluate the Upper Confidence Bounds and Exponential Weights, as well as algorithms designed for simple regret, such as Successive Reject. For the exploitation, we also evaluate Bernstein Races and Uniform Sampling. As for the recommandation part, we test Empirically Best Arm, Most Played, Lower ConfidenceBounds and Empirical Distribution. In the one-player case, we recommend Upper Confidence Bound as an exploration algorithm (and in particular its variants adaptUCBE for parameter-free simple regret) and Lower Confidence Bound or Most Played Arm as recommendation algorithms. In the two-player case, we point out the commodity and efficiency of the EXP3 algorithm, and the very clear improvement provided by the truncation algorithm TEXP3. Incidentally our algorithm won some games against professional players in kill-all Go (to the best of our knowledge, for the first time in computer games).","PeriodicalId":385063,"journal":{"name":"2012 Conference on Technologies and Applications of Artificial Intelligence","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125051177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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