Probabilistic noise identification and data cleaning
暂无分享,去创建一个
[1] Michael I. Jordan,et al. Supervised learning from incomplete data via an EM approach , 1993, NIPS.
[2] Prabhakar Raghavan,et al. A Linear Method for Deviation Detection in Large Databases , 1996, KDD.
[3] Vijay T. Raisinghani. Cleaning Methods In Data Warehousing , 1999 .
[4] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[5] N. Mati,et al. Discovering Informative Patterns and Data Cleaning , 1996 .
[6] Li Deng,et al. A new method for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise , 2001, INTERSPEECH.
[7] George H. John. Robust Decision Trees: Removing Outliers from Databases , 1995, KDD.
[8] Andrian Marcus,et al. Data Cleansing: Beyond Integrity Analysis 1 , 2000 .
[9] Sam T. Roweis,et al. One Microphone Source Separation , 2000, NIPS.
[10] Andrian Marcus,et al. Data Cleansing: Beyond Integrity Analysis , 2000, IQ.
[11] Nada Lavrac,et al. Experiments with Noise Filtering in a Medical Domain , 1999, ICML.
[12] B. Ripley,et al. Robust Statistics , 2018, Wiley Series in Probability and Statistics.
[13] Richard M. Stern,et al. Reconstruction of damaged spectrographic features for robust speech recognition , 2000, INTERSPEECH.
[14] Werner A. Stahel,et al. Robust Statistics: The Approach Based on Influence Functions , 1987 .
[15] Steven A. Wolfman,et al. Cleaning Data with Bayesian Methods , 2000 .
[16] Choh-Man Teng,et al. Correcting Noisy Data , 1999, ICML.
[17] Peter C. Cheeseman,et al. Bayesian Classification (AutoClass): Theory and Results , 1996, Advances in Knowledge Discovery and Data Mining.
[18] Carla E. Brodley,et al. Identifying and Eliminating Mislabeled Training Instances , 1996, AAAI/IAAI, Vol. 1.