51![Sound Texture Classification Using Statistics from an Auditory Model Gabriele Carotti-Sha, Evan Penn, Daniel Villamizar Fall 2015 CS229 Machine Learning Class Project, Stanford University Motivation Sound textures may b Sound Texture Classification Using Statistics from an Auditory Model Gabriele Carotti-Sha, Evan Penn, Daniel Villamizar Fall 2015 CS229 Machine Learning Class Project, Stanford University Motivation Sound textures may b](https://www.pdfsearch.io/img/23b79daaabb724e1a39909e9eb73ccd4.jpg) | Add to Reading ListSource URL: cs229.stanford.eduLanguage: English - Date: 2015-12-14 19:04:54
|
---|
52![Machine Learning Based Botnet Detection Vaibhav Nivargi Mayukh Bhaowal {vnivargi, mayukhb, tlee21}@cs.stanford.edu CS 229 Final Project Report I. INTRODUCTION Machine Learning Based Botnet Detection Vaibhav Nivargi Mayukh Bhaowal {vnivargi, mayukhb, tlee21}@cs.stanford.edu CS 229 Final Project Report I. INTRODUCTION](https://www.pdfsearch.io/img/5a0d63c89820df0671aa8007c7291cfa.jpg) | Add to Reading ListSource URL: cs229.stanford.eduLanguage: English - Date: 2011-09-14 20:33:08
|
---|
53![Cancerous Tissue Classification Using Microarray Gene Expression Pei-Chun Chen, Victoria Popic and Yuling Liu Stanford University In this project, we apply machine learning techniques to perform tumor vs. normal tissue c Cancerous Tissue Classification Using Microarray Gene Expression Pei-Chun Chen, Victoria Popic and Yuling Liu Stanford University In this project, we apply machine learning techniques to perform tumor vs. normal tissue c](https://www.pdfsearch.io/img/1a9e1315d347f3770d5bb3f627d343d6.jpg) | Add to Reading ListSource URL: cs229.stanford.eduLanguage: English - Date: 2013-01-09 21:42:14
|
---|
54![CS 229 project report Younggon Kim () Smarter text input system for mobile phone 1. Abstract Machine learning algorithm was applied to text input system called T9. Support vector machine CS 229 project report Younggon Kim () Smarter text input system for mobile phone 1. Abstract Machine learning algorithm was applied to text input system called T9. Support vector machine](https://www.pdfsearch.io/img/e0b1e82f720456181a154a7dc862ce3a.jpg) | Add to Reading ListSource URL: cs229.stanford.eduLanguage: English - Date: 2011-09-14 20:33:03
|
---|
55![INTUIT future of small business report sec on d installment : tec hnolo gy tren ds an d small business The Intuit-IFTF Future of Small Business Project: About this Series INTUIT future of small business report sec on d installment : tec hnolo gy tren ds an d small business The Intuit-IFTF Future of Small Business Project: About this Series](https://www.pdfsearch.io/img/cf2c81ac0b95f928c740364be197d8a5.jpg) | Add to Reading ListSource URL: http-download.intuit.comLanguage: English - Date: 2008-08-11 02:37:08
|
---|
56![Stochastic Control of Electric Vehicle Charging Kyle
Anderson
CS
229
Machine
Learning
Final
Project
Abstract— This project attempts several methods to optimize charging schedules fo Stochastic Control of Electric Vehicle Charging Kyle
Anderson
CS
229
Machine
Learning
Final
Project
Abstract— This project attempts several methods to optimize charging schedules fo](https://www.pdfsearch.io/img/d97f518fefdf31e73226c93944dde41c.jpg) | Add to Reading ListSource URL: cs229.stanford.eduLanguage: English - Date: 2013-01-09 23:40:13
|
---|
57![Machine Learning Applied to Terrain Classification for Autonomous Mobile Robot Navigation John Rogers, Andrew Lookingbill CS 229 Final Project I. I NTRODUCTION We work on the Stanford AI Lab team for the DARPA-funded Lea Machine Learning Applied to Terrain Classification for Autonomous Mobile Robot Navigation John Rogers, Andrew Lookingbill CS 229 Final Project I. I NTRODUCTION We work on the Stanford AI Lab team for the DARPA-funded Lea](https://www.pdfsearch.io/img/1a8145480eacbc4b5da2c5a6925ca7c5.jpg) | Add to Reading ListSource URL: cs229.stanford.eduLanguage: English - Date: 2011-09-14 20:33:04
|
---|
58![Machine Learning for Patent Classification David Black & Peter Ciccolo Problem Description & Background Our project is an application of machine learning technology to text classification on United States patents to auto Machine Learning for Patent Classification David Black & Peter Ciccolo Problem Description & Background Our project is an application of machine learning technology to text classification on United States patents to auto](https://www.pdfsearch.io/img/6f5328e9230d02ed24dd441b044622f8.jpg) | Add to Reading ListSource URL: cs229.stanford.eduLanguage: English - Date: 2011-09-14 20:33:01
|
---|
59![CS229: Machine Learning Project Report An Ensemble Classifier for Rectifying Classification Error Cheuk Ting LI CS229: Machine Learning Project Report An Ensemble Classifier for Rectifying Classification Error Cheuk Ting LI](https://www.pdfsearch.io/img/496a840203e416118249b938c05a1546.jpg) | Add to Reading ListSource URL: cs229.stanford.eduLanguage: English - Date: 2014-01-04 21:32:41
|
---|
60![Machine Learning for Controlled Slides of a RC Car CS229 Term Project Morgan Quigley and Michael Vitus December 16, Machine Learning for Controlled Slides of a RC Car CS229 Term Project Morgan Quigley and Michael Vitus December 16,](https://www.pdfsearch.io/img/937e8d1fbb758224cb18409974656798.jpg) | Add to Reading ListSource URL: cs229.stanford.eduLanguage: English - Date: 2011-09-14 20:33:03
|
---|