Titlebook: Discovery Science; 10th International C Vincent Corruble,Masayuki Takeda,Einoshin Suzuki Conference proceedings 2007 Springer-Verlag Berlin

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Aesthetic Fallacies in Perspective. But few methods can exploit the full potential of clausal logic and abduce non-ground explanations with indefinite answers. This paper shows how the consequence finding method of Skip Ordered Linear (SOL) resolution can overcome the limitations of existing systems by proposing a method that is sou

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The Frames and Relational Aestheticsterests. Since even experts’ knowledge is likely to be incomplete, important findings or associations among key concepts may remain unnoticed in the flood of information. This paper brings and extends a formal model from information retrieval in order to discover those implicit, hidden knowledge. Fo

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Imperial preference: a quantitative analysiscal examples. We propose a . measure to assess researchers on their mentoring abilities. Our approach quantifies benefits bestowed by researchers upon their students by characterizing the publication dynamics of research advisor-student interactions in author collaboration networks. We show that our

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Challenge for Info-plosion The project “Cyber Infrastructure for the Information-explosion Era” is a six-year project from 2005 to 2010 supported by Grant-in-Aid for Scientific Research on Priority Areas from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan. The project aims to establish the

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Machine Learning in Ecosystem Informaticscosystem sciences. The ecosystem sciences are in the midst of a revolution driven by a combination of emerging technologies for improved sensing and the critical need for better science to help manage global climate change. This paper describes several initiatives at Oregon State University in ecosy

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Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creas ‘holy.’ At any time, given some agent’s current coding capabilities, part of the data is compressible by a short and hopefully fast program / description / explanation / world model. In the agent’s subjective eyes, such data is more regular and more . than other data. It is well-known that knowled

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A Theory of Similarity Functions for Learning and Clustering of sufficient conditions for a kernel to be useful for a given learning problem. However, while a kernel can be thought of as just a pairwise similarity function that satisfies additional mathematical properties, this theory requires viewing kernels as implicit (and often difficult to characterize)

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