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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
A Spectral Algorithm for Learning Hidden Markov Models
Daniel Hsu, Sham M. Kakade 외 1명
arXiv (Cornell University)
|
2008
|
137 회 인용
Bayesian Workflow
Andrew Gelman, Aki Vehtari 외 8명
arXiv (Cornell University)
|
2020
|
137 회 인용
Conversation as Action Under Uncertainty
Tim Paek, Eric Horvitz
arXiv (Cornell University)
|
2013
|
137 회 인용
DART: Dropouts meet Multiple Additive Regression Trees
K. V. Rashmi, Ran Gilad-Bachrach
arXiv (Cornell University)
|
2015
|
137 회 인용
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
Holger R. Roth
arXiv (Cornell University)
|
2015
|
137 회 인용
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng, Zijun Huang 외 2명
arXiv (Cornell University)
|
2019
|
137 회 인용
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia
arXiv (Cornell University)
|
2017
|
137 회 인용
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner, Timothy Lillicrap 외 2명
arXiv (Cornell University)
|
2019
|
137 회 인용
Engineering Optimisation by Cuckoo Search
Xin‐She Yang, Suash Deb
arXiv (Cornell University)
|
2010
|
137 회 인용
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results
Bingshui Da, Yew-Soon Ong 외 7명
arXiv (Cornell University)
|
2017
|
137 회 인용
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