<--- Back to Details
First PageDocument Content
Data mining / Machine learning / Information retrieval / Receiver operating characteristic / Boosting / AdaBoost / Sampling / Oversampling / Naive Bayes classifier / Statistics / Ensemble learning / Statistical classification
Data mining
Machine learning
Information retrieval
Receiver operating characteristic
Boosting
AdaBoost
Sampling
Oversampling
Naive Bayes classifier
Statistics
Ensemble learning
Statistical classification

Add to Reading List

Source URL: nd.edu

Download Document from Source Website

File Size: 184 B

Share Document on Facebook

Similar Documents

2015 IEEE Symposium on Security and Privacy Secure Sampling of Public Parameters for Succinct Zero Knowledge Proofs Eli Ben-Sasson§ , Alessandro Chiesa∗ , Matthew Green† , Eran Tromer¶ , Madars Virza‡ ∗ ETH

DocID: 1xVhq - View Document

DP-Finder: Finding Differential Privacy Violations by Sampling and Optimization Benjamin Bichsel Timon Gehr

DocID: 1xUme - View Document

Mathematical analysis / Uniform distribution / Limit of a function / Timed automaton / Differential calculus / BKL singularity

Uniform Sampling for Timed Automata with Application to Language Inclusion Measurement? Benoˆıt Barbot1?? , Nicolas Basset1 , Marc Beunardeau2? ? ? , and Marta Kwiatkowska1 1

DocID: 1xUgU - View Document

Mathematical analysis / Probability theory / Statistical theory / Categorical data / Categorical distribution / Uniform distribution / Bayesian network / Infinitely divisible probability distributions

Semantics-aware program sampling Pratiksha Thaker Stanford University

DocID: 1xU7J - View Document

Spring Species Composition and Sampling Techniques for Mosquitoes Collected Within the University of Florida’s Natural Area Teaching Laboratory Submitted by: Chris Holderman, PhD Student Dr. Phillip Kaufman, Associate

DocID: 1vs5n - View Document