Comparative analysis of machine learning algorithms

Reference no: EM131299489

Comparative Analysis of Machine Learning Algorithms for Audio Signals Classification (take KNN and SVM alogorithm to compare).The improved algorithm should be written on your own.

1. Please highlight your own contributions in your paper, such as problems of the original algorithms, your ideas to improve the original algorithms, etc.

2. The paper should be a well-written project report is required. The project report should contain abstract, introduction, methods & results, and discussion, with necessary peer-reviewed references.

Please write the paper for 6 pages, single paced

List of references: (you can use your own references too)

https://nlp.stanford.edu/IR-book/html/htmledition/time-complexity-and-optimality-of-knn-1.html

https://www.academia.edu/1886225/KNN_Algorithms

https://www.academia.edu/4907040/A_New_Boosting_Multi-class_SVM_Algorithm (Knn algorithm)

https://machinelearning.wustl.edu/mlpapers/paper_files/TsangKC05.pdf

https://pdfs.semanticscholar.org/a8b4/786c9128d4a94caeb67c858ab4f4288c49ff.pdf (svm complexity)

https://stats.stackexchange.com/questions/96995/machine-learning-classifiers-big-o-or-complexity

https://stats.stackexchange.com/questions/211177/comparison-of-lda-vs-knn-time-complexity

https://www.kyb.mpg.de/fileadmin/user_upload/files/publications/attachments/neco_%5b0%5d.pdf

https://nlp.stanford.edu/IR-book/html/htmledition/irbook.html

https://www.youtube.com/watch?v=UPAnUE_g5SQ

https://www.youtube.com/watch?v=6nDqY8MPLDM

https://www.youtube.com/watch?v=ptwn9wg_s48

https://www.csee.umbc.edu/~tinoosh/cmpe650/slides/K_Nearest_Neighbor_Algorithm.pdf (good Knn algorithm)

Attachment:- Term Paper.rar

Reference no: EM131299489

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Reviews

len1299489

12/3/2016 4:53:44 AM

I had attached the model of the term paper..You write starting from the scratch if you need. The tutor who writes this should be an experience person to do it. Student wants everything organized. She have sent you file for whatever she have done.

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