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Classifiers-Ensemble published presentations and documents on DocSlides.

Summarizing Software Artifacts: A Case Study of Bug Reports
Summarizing Software Artifacts: A Case Study of Bug Reports
by natalia-silvester
Flash talk by: . Aditi . Garg, Xiaoran Wang. Auth...
Naïve Bayes Classifiers
Naïve Bayes Classifiers
by cheryl-pisano
Jonathan Lee and Varun Mahadevan. Independence. R...
Discriminative classifiers:
Discriminative classifiers:
by mitsue-stanley
Logistic Regression, SVMs. CISC 5800. Professor D...
Naïve Bayes Classifiers
Naïve Bayes Classifiers
by faustina-dinatale
Jonathan Lee and Varun Mahadevan. Programming Pro...
Weka Overview Sagar Samtani
Weka Overview Sagar Samtani
by alexa-scheidler
and . Hsinchun. . Chen. Spring . 2016. , MIS . ...
Machine Learning CSE 5095: Special Topics Course
Machine Learning CSE 5095: Special Topics Course
by tatiana-dople
Boosting. Nhan Nguyen. Computer Science and Engin...
Learning by Loss Minimization
Learning by Loss Minimization
by myesha-ticknor
Machine learning:. Learn a Function from Examples...
Describable Visual Attributes for Face Verification and Image Search
Describable Visual Attributes for Face Verification and Image Search
by danika-pritchard
Neeraj Kumar, Alexander C. Berg, Peter N. Belumeu...
Midterms PAC Learning SVM
Midterms PAC Learning SVM
by luanne-stotts
Kernels Boost. Decision Trees. 1. Midt...
Interpolants as Classifiers
Interpolants as Classifiers
by min-jolicoeur
Rahul Sharma. Joint work with . Aditya. . Nori. ...
Classification and Linear Classifiers
Classification and Linear Classifiers
by phoebe-click
Mohammad Ali . Keyvanrad. Machine Learning. In th...
Advanced classifiers Decision trees
Advanced classifiers Decision trees
by tatiana-dople
Object-based classifiers. Others. DECISION TREES....
Comparison of Full-Spectrum and Zero-Crossing Automated Bat Call Classifiers
Comparison of Full-Spectrum and Zero-Crossing Automated Bat Call Classifiers
by lois-ondreau
Donald . Solick. , Matthew Clement, Kevin Murray,...
boosting David Kauchak CS451 – Fall 2013
boosting David Kauchak CS451 – Fall 2013
by min-jolicoeur
Admin. Final project. Ensemble learning. Basic id...
Study of Word-Level Accent Classification and Gender Factors
Study of Word-Level Accent Classification and Gender Factors
by tatyana-admore
Xing . Wang. ,. . Peihong Guo, Tian Lan, Guoyu F...
Sharing Features Between Objects and Their Attributes
Sharing Features Between Objects and Their Attributes
by lois-ondreau
Sung . Ju. Hwang. 1. , . Fei. Sha. 2. and Kris...
Challenge Questions: 1/27 & 1/28
Challenge Questions: 1/27 & 1/28
by cheryl-pisano
How do you write out classifiers when you are glo...
Discriminative classifiers:
Discriminative classifiers:
by giovanna-bartolotta
Logistic Regression, SVMs. CISC 5800. Professor D...
Logistic Regression 1 Matt Gormley
Logistic Regression 1 Matt Gormley
by marina-yarberry
Lecture 4. September 12, 2016. School of Computer...
Large Margin classifiers
Large Margin classifiers
by cheryl-pisano
David Kauchak. CS 158 – Fall 2016. Admin. Assig...
A Comparison of Several Classifiers for Movie Review
A Comparison of Several Classifiers for Movie Review
by myesha-ticknor
Sentiment Analysis. Hilbert Locklear, Andreea Cot...
CS 277: Data Mining
CS 277: Data Mining
by tatiana-dople
Notes on Classification. Padhraic. Smyth. Depart...
Discriminative classifiers:
Discriminative classifiers:
by tatiana-dople
Logistic Regression, SVMs. CISC 5800. Professor D...
Face feature detection using Java and OpenCV
Face feature detection using Java and OpenCV
by debby-jeon
1. Content. What is . OpenCV. ?. What is face det...
CS240A Final
CS240A Final
by cheryl-pisano
Project 2. Final for  CS240A: Project . II:. Dat...
Patient-Adaptive Beat Classification using Active Learning
Patient-Adaptive Beat Classification using Active Learning
by kittie-lecroy
Jenna Wiens*, John . Guttag. Massachusetts Instit...
Boosting
Boosting
by faustina-dinatale
CMPUT 615. Boosting Idea. . We have a weak class...
Midterms
Midterms
by giovanna-bartolotta
PAC Learning SVM ...
Text categorization using
Text categorization using
by giovanna-bartolotta
hyper rectangular keyword extraction: . Applicati...
More Classifiers
More Classifiers
by ellena-manuel
Agenda. Key concepts for all classifiers. Precisi...
Machine Learning for Spam Filtering
Machine Learning for Spam Filtering
by karlyn-bohler
. 1. Sai Koushik Haddunoori. Problem:. E-mail p...
Learning Classifiers from Distributional Data
Learning Classifiers from Distributional Data
by calandra-battersby
Harris T. Lin. , . Sanghack. Lee, . Ngot. Bui a...
Predicting Functional Relationships in Osteoblasts
Predicting Functional Relationships in Osteoblasts
by faustina-dinatale
Jacob M. . . Luber. 1, . 2. , Catherine Sharp. 2....
Learning Classifiers from
Learning Classifiers from
by natalia-silvester
Chains of. Multiple Interlinked RDF Data Stores. ...
CHAPTER GENERATIVE AND DISCRIMINATIVE CLASSIFIERS NAIVE BAYES AND LOGISTIC REGRESSION Machine Learning Copyright
CHAPTER GENERATIVE AND DISCRIMINATIVE CLASSIFIERS NAIVE BAYES AND LOGISTIC REGRESSION Machine Learning Copyright
by faustina-dinatale
Tom M Mitchell All rights reserved DRAFT OF Janua...
BIAS VARIANCE AND ARCING CLASSIFIERS Leo Breiman leos
BIAS VARIANCE AND ARCING CLASSIFIERS Leo Breiman leos
by briana-ranney
berkeleyedu Statistics Department University of Ca...
On Comparing Classifiers: Pitfalls to Avoid and a Recommend
On Comparing Classifiers: Pitfalls to Avoid and a Recommend
by tatiana-dople
Author: Steven L. . Salzberg. Presented by: . Zhe...
Man vs.
Man vs.
by marina-yarberry
Machine: Adversarial Detection . of Malicious . C...
Draft-aldrin-
Draft-aldrin-
by phoebe-click
sfc. -. oam. -framework. S.Aldrin. (Huawei), . C...
Objectives:
Objectives:
by test
Bagging and Boosting. Cross-Validation. ML and Ba...