ICML 录取统计
2012年06月06日 科研 ⁄ 共 1808字 ⁄ 被围观 927+

ICML 2012 马上就要开了，这是录取的论文列表：accepted papers

Machine Learning 各个研究分支投稿录取比率如何，各个方向投稿多少如何？

 18/66 = 0.27 in (0.18,0.36) Reinforcement Learning 10/52 = 0.19 in (0.17,0.37) Supervised Learning 9/51 = 0.18 not in (0.18, 0.37) Clustering 12/46 = 0.26 in (0.17, 0.37) Kernel Methods 11/40 = 0.28 in (0.15, 0.4) Optimization Algorithms 8/33 = 0.24 in (0.15, 0.39) Learning Theory 14/33 = 0.42 not in (0.15, 0.39) Graphical Models 10/32 = 0.31 in (0.15, 0.41) Applications (+5 invited) 8/29 = 0.28 in (0.14, 0.41]) Probabilistic Models 13/29 = 0.45 not in (0.14, 0.41) NN & Deep Learning 8/26 = 0.31 in (0.12, 0.42) Transfer and Multi-Task Learning 13/25 = 0.52 not in (0.12, 0.44) Online Learning 5/25 = 0.20 in (0.12, 0.44) Active Learning 6/22 = 0.27 in (0.14, 0.41) Semi-Supervised Learning 7/20 = 0.35 in (0.1, 0.45) Statistical Methods 4/20 = 0.20 in (0.1, 0.45) Sparsity and Compressed Sensing 1/19 = 0.05 not in (0.11, 0.42) Ensemble Methods 5/18 = 0.28 in (0.11, 0.44) Structured Output Prediction 4/18 = 0.22 in (0.11, 0.44) Recommendation and Matrix Factorization 7/18 = 0.39 in (0.11, 0.44) Latent-Variable Models and Topic Models 1/17 = 0.06 not in (0.12, 0.47) Graph-Based Learning Methods 5/16 = 0.31 in (0.13, 0.44) Nonparametric Bayesian Inference 3/15 = 0.20 in (0.7, 0.47) Unsupervised Learning and Outlier Detection 7/12 = 0.58 not in (0.08, 0.50) Gaussian Processes 5/11 = 0.45 not in (0.09, 0.45) Ranking and Preference Learning 2/11 = 0.18 in (0.09, 0.45) Large-Scale Learning 0/9 = 0.00 in [0, 0.56) Vision 3/9 = 0.33 in [0, 0.56) Social Network Analysis 0/9 = 0.00 in [0, 0.56) Multi-agent & Cooperative Learning 2/9 = 0.22 in [0, 0.56) Manifold Learning 4/8 = 0.50 not in [0, 0.5) Time-Series Analysis 2/8 = 0.25 in [0, 0.5] Large-Margin Methods 2/8 = 0.25 in [0, 0.5] Cost Sensitive Learning 2/7 = 0.29 in [0, 0.57) Recommender Systems 3/7 = 0.43 in [0, 0.57) Privacy, Anonymity, and Security 0/7 = 0.00 in [0, 0.57) Neural Networks 0/7 = 0.00 in [0, 0.57) Empirical Insights 0/7 = 0.00 in [0, 0.57) Bioinformatics 1/6 = 0.17 in [0, 0.5) Information Retrieval 2/6 = 0.33 in [0, 0.5) Evaluation Methodology

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1. 顶贴机 : 2012年06月08日16:05:37  1楼 @回复 回复

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