Abstract--This paper conducts a survey on iterative learn- ing control （ILC） with incomplete information and associated control system design, which is a frontier of the ILC field. The incomplete information, includ...Abstract--This paper conducts a survey on iterative learn- ing control （ILC） with incomplete information and associated control system design, which is a frontier of the ILC field. The incomplete information, including passive and active types, can cause data loss or fragment due to various factors. Passive incomplete information refers to incomplete data and information caused by practical system limitations during data collection, storage, transmission, and processing, such as data dropouts, delays, disordering, and limited transmission bandwidth. Active incomplete information refers to incomplete data and information caused by man-made reduction of data quantity and quality on the premise that the given objective is satisfied, such as sampling and quantization. This survey emphasizes two aspects： the first one is how to guarantee good learning performance and tracking performance with passive incomplete data, and the second is how to balance the control performance index and data demand by active means. The promising research directions along this topic are also addressed, where data robustness is highly emphasized. This survey is expected to improve understanding of the restrictive relationship and trade-off between incomplete data and tracking performance, quantitatively, and promote further developments of ILC theory. Index Terms--Data dropout, data robustness, incomplete in- formation, iterative learning controi（ILC）, quantized control, sampled control, varying lengths.展开更多
According to features of current undergraduate curriculum design in the teaching of art and science, and combing exploration and the problems that exist during the process of teaching of basic theory of art and scienc...According to features of current undergraduate curriculum design in the teaching of art and science, and combing exploration and the problems that exist during the process of teaching of basic theory of art and science, this paper taking design courses of interactive introduction for example, it tries to innovate classroom teaching methods of exhibition of art and technology, interactive art and technology are principle theoretical classes of their major. Making good use of initiative of self- learning is the core element to help students in subjects learning, we constantly improve and perfect teaching concepts and classroom teaching mode to create the space for students to learn and explore actively, make personalized study according to their own characteristics, we make students experience the interest of freedom, autonomy, inquiry learning, enjoy the delight of appearance of personality and vitality of the burst of life vigor. Combining personal teaching experience, we should explore the way to led art students to learn with initiative in principle theoretical classes of their major.展开更多
Ensemble learning is a wildly concerned issue.Traditional ensemble techniques are always adopted to seek better results with labeled data and base classifiers.They fail to address the ensemble task where only unlabele...Ensemble learning is a wildly concerned issue.Traditional ensemble techniques are always adopted to seek better results with labeled data and base classifiers.They fail to address the ensemble task where only unlabeled data are available.A label propagation based ensemble(LPBE) approach is proposed to further combine base classification results with unlabeled data.First,a graph is constructed by taking unlabeled data as vertexes,and the weights in the graph are calculated by correntropy function.Average prediction results are gained from base classifiers,and then propagated under a regularization framework and adaptively enhanced over the graph.The proposed approach is further enriched when small labeled data are available.The proposed algorithms are evaluated on several UCI benchmark data sets.Results of simulations show that the proposed algorithms achieve satisfactory performance compared with existing ensemble methods.展开更多
Using the Internet to learn a language creates wide opportunities to enhance learning （Association of teachers of English in Catalonia （APAC）, 2010）. The Internet activities promote learners＇ self-monitoring abil...Using the Internet to learn a language creates wide opportunities to enhance learning （Association of teachers of English in Catalonia （APAC）, 2010）. The Internet activities promote learners＇ self-monitoring ability, encourage the use of multimedia and network technology, and develop students＇ cooperation and participation. During the latest years, there have been many changes in education as these new technologies, including VLEs （Virtual Learning Environments）, which have become an important part in the teaching/learning process. According to Tech Terms Computer Dictionary （2012）, VLE is a virtual classroom where teachers and students communicate. VLEs have evolved as at an early stage, they were only ways of transmitting information： Teachers uploaded the multimedia resources and students read this information. At a higher stage, VLEs have become interactive. This means that students become active. We have designed a virtual environment where students, weekly, must contribute their opinions and comments in response to a required activity uploaded by the teacher. In this paper, we describe this weekly task and analyze students＇ opinion about this planned activity. The students become an active subject in this field. In this paper, we show how VLEs are no longer a means of transmitting information but a means of interaction as well as a way of motivating our students to be involved in their learning process展开更多
基金supported by the National Natural Science Foundation of China(61673045)Beijing Natural Science Foundation(4152040)
文摘Abstract--This paper conducts a survey on iterative learn- ing control （ILC） with incomplete information and associated control system design, which is a frontier of the ILC field. The incomplete information, including passive and active types, can cause data loss or fragment due to various factors. Passive incomplete information refers to incomplete data and information caused by practical system limitations during data collection, storage, transmission, and processing, such as data dropouts, delays, disordering, and limited transmission bandwidth. Active incomplete information refers to incomplete data and information caused by man-made reduction of data quantity and quality on the premise that the given objective is satisfied, such as sampling and quantization. This survey emphasizes two aspects： the first one is how to guarantee good learning performance and tracking performance with passive incomplete data, and the second is how to balance the control performance index and data demand by active means. The promising research directions along this topic are also addressed, where data robustness is highly emphasized. This survey is expected to improve understanding of the restrictive relationship and trade-off between incomplete data and tracking performance, quantitatively, and promote further developments of ILC theory. Index Terms--Data dropout, data robustness, incomplete in- formation, iterative learning controi（ILC）, quantized control, sampled control, varying lengths.
文摘According to features of current undergraduate curriculum design in the teaching of art and science, and combing exploration and the problems that exist during the process of teaching of basic theory of art and science, this paper taking design courses of interactive introduction for example, it tries to innovate classroom teaching methods of exhibition of art and technology, interactive art and technology are principle theoretical classes of their major. Making good use of initiative of self- learning is the core element to help students in subjects learning, we constantly improve and perfect teaching concepts and classroom teaching mode to create the space for students to learn and explore actively, make personalized study according to their own characteristics, we make students experience the interest of freedom, autonomy, inquiry learning, enjoy the delight of appearance of personality and vitality of the burst of life vigor. Combining personal teaching experience, we should explore the way to led art students to learn with initiative in principle theoretical classes of their major.
基金Project (20121101004) supported by the Major Science and Technology Program of Shanxi Province,ChinaProject (20130321004-01) supported by the Key Technologies R&D Program of Shanxi Province,China+2 种基金Project (2013M530896) supported by the Postdoctoral Science Foundation of ChinaProject (2014021022-6) supported by the Shanxi Provincial Science Foundation for Youths,ChinaProject (80010302010053) supported by the Shanxi Characteristic Discipline Fund,China
文摘Ensemble learning is a wildly concerned issue.Traditional ensemble techniques are always adopted to seek better results with labeled data and base classifiers.They fail to address the ensemble task where only unlabeled data are available.A label propagation based ensemble(LPBE) approach is proposed to further combine base classification results with unlabeled data.First,a graph is constructed by taking unlabeled data as vertexes,and the weights in the graph are calculated by correntropy function.Average prediction results are gained from base classifiers,and then propagated under a regularization framework and adaptively enhanced over the graph.The proposed approach is further enriched when small labeled data are available.The proposed algorithms are evaluated on several UCI benchmark data sets.Results of simulations show that the proposed algorithms achieve satisfactory performance compared with existing ensemble methods.
文摘Using the Internet to learn a language creates wide opportunities to enhance learning （Association of teachers of English in Catalonia （APAC）, 2010）. The Internet activities promote learners＇ self-monitoring ability, encourage the use of multimedia and network technology, and develop students＇ cooperation and participation. During the latest years, there have been many changes in education as these new technologies, including VLEs （Virtual Learning Environments）, which have become an important part in the teaching/learning process. According to Tech Terms Computer Dictionary （2012）, VLE is a virtual classroom where teachers and students communicate. VLEs have evolved as at an early stage, they were only ways of transmitting information： Teachers uploaded the multimedia resources and students read this information. At a higher stage, VLEs have become interactive. This means that students become active. We have designed a virtual environment where students, weekly, must contribute their opinions and comments in response to a required activity uploaded by the teacher. In this paper, we describe this weekly task and analyze students＇ opinion about this planned activity. The students become an active subject in this field. In this paper, we show how VLEs are no longer a means of transmitting information but a means of interaction as well as a way of motivating our students to be involved in their learning process
