Results 31 to 40 of about 662,867 (210)
MatCoupLy: Learning coupled matrix factorizations with Python
Coupled matrix factorization (CMF) models jointly decompose a collection of matrices with one shared mode. For interpretable decompositions, constraints are often needed, and variations of constrained CMF models have been used in various fields ...
Marie Roald
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Entrepreneurial discovery processes, knowledge creation and knowledge space [PDF]
© 2019 Routledge. Selection and editorial matter, Åge Mariussen, Seija Virkkala, Håkon Finne and Tone Merethe Aasen; individual chapters, the contributors.
Virkkala, Seija, Seija Virkkala
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On the Notion of Interestingness in Automated Mathematical Discovery [PDF]
We survey five mathematical discovery programs by looking in detail at the discovery processes they illustrate and the success they’ve had. We focus on how they estimate the interestingness of concepts and conjectures and extract some common notions ...
Walsh T +8 more
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Sublemma-Based Neural Machine Translation
Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. The approach is able to extract efficient representations from the input data, if the data are large enough. Unfortunately, it is not always possible
Thien Nguyen, Huu Nguyen, Phuoc Tran
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08471 Report – Geographic Privacy-Aware Knowledge Discovery and Delivery
The Dagstuhl-Seminar on Geographic Privacy-Aware Knowledge Discovery and Delivery was held during 16 - 21 November, 2008, with 37 participants registered from various countries from Europe, as well as other parts of the world such as United States ...
Kuijpers, Bart +3 more
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Human-centric intelligent systems for exploration and knowledge discovery [PDF]
This speculative article discusses research and development relating to computational intelligence (CI) technologies comprising powerful machine-based search and exploration techniques that can generate, extract, process and present high-quality ...
Parmee, I. C.
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On subgroup discovery in numerical domains
S.210-226Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness.
Grosskreutz, Henrik, Rüping, Stefan
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The constant drive towards a more personalized medicine led to an increasing interest in temporal gene expression analyzes. It is now broadly accepted that considering a temporal perspective represents a great advantage to better understand disease ...
Carreiro André V. +3 more
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Using multimodal signals to solve the problem of emotion recognition is one of the emerging trends in affective computing. Several studies have utilized state of the art deep learning methods and combined physiological signals, such as the ...
Clarence Tan +3 more
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Approaching entrepreneurial discovery and knowledge conversion from a complexity perspective [PDF]
In this chapter, it is suggested that innovative ideas emerge and transform because of conversational activity involving a large number of people. The focus is on important ideas and insights of the particular perspective of complex responsive processes (
Tone Merethe Aasen, Aasen, Tone Merethe
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