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강연자 정교민
소속 서울대 전기공학부
date 2014-10-16
이 강연에서는 최근 음악, 영화 추천 등 다양한 Recommendation System의 기본 아이디어인 Matrix Completion 문제와, 이를 해결하기 위해 Singular Value Decomposition을 통한 차원 축소 및 내재 공간 학습이 어떤 원리로 이루어 지는지 설명합니다. 그리고 PageRank 등 검색 알고리즘, 머신 러닝의 최적화 문제 등에서의 수학의 중요성을 설명하고자 합니다.

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  2. Analysis and computations of stochastic optimal control problems for stochastic PDEs

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  6. Quasi-homomorphisms into non-commutative groups

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  8. Iwahori-Hecke algebras and beyond

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  9. On the resolution of the Gibbs phenomenon

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  11. The process of mathematical modelling for complex and stochastic biological systems

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  13. Solver friendly finite element methods

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  18. Nonlocal generators of jump type Markov processes

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