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Inductive and non-inductive methods of clustering
2012 IEEE International Conference on Granular Computing, 2012This paper aims to overview a variety of methods of clustering by introducing the concepts of inductive and non-inductive clustering. These concepts are in parallel with the concepts of inductive and transductive learning in the studies of semi-supervised classification.
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Protein production by auto-induction in high density shaking cultures.
Protein Expression and Purification, 2005F. Studier
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Induction and Complete Induction
2015Induction and complete induction are defined and are related to each other. Examples are presented including formulas for sums and the proof that every positive integer can be represented as a product of powers of primes. The relationship between induction and the well-ordering of natural numbers is discussed. The binomial theorem is proven.
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Inductive knowledge acquisition and induction methodologies
Knowledge-Based Systems, 1989Knowledge acquisition will always remains a key problem in the development of knowledge-based systems. With this motivation, a divergent number of methodologies and associated issues are appearing in the literature. This paper looks at how certain induction theories and methodologies conform to the requirements of knowledge acquisition from the light ...
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Human-level concept learning through probabilistic program induction
Science, 2015B. Lake, R. Salakhutdinov, J. Tenenbaum
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A New Quick-Response and High-Efficiency Control Strategy of an Induction Motor
IEEE transactions on industry applications, 1986I. Takahashi, T. Noguchi
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Inductance and mutual inductance
1996The inductor is one of the basic building blocks upon which electrical and electronic circuits are founded, and form a springboard to important branches of the subject. The reader will gain confidence in dealing with problems relating to inductive circuits as he/she reads through this chapter.
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Biochemical and Biophysical Research Communications - BBRC, 1997
K. Itoh +11 more
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K. Itoh +11 more
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