K-Nearest Neighbor Mobile Recommendation System

Nov 10, 2012

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K-Nearest Neighbor Mobile Recommendation System

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K-nearest neighbor methods

K-nearest neighbor methods. William Cohen 10-601 April 2008. But first…. Onward: multivariate linear regression. col is feature. Multivariate. Univariate. row is example. Y. X. ACM Computing Surveys 2002. Review of K-NN methods (so far). Kernel regression.

1.23k views • 35 slides

K-Nearest Neighbor Learning

K-Nearest Neighbor Learning. Dipanjan Chakraborty. Different Learning Methods. Eager Learning Explicit description of target function on the whole training set Instance-based Learning Learning=storing all training instances Classification=assigning target function to a new instance

929 views • 16 slides

K nearest neighbor and Rocchio algorithm

K nearest neighbor and Rocchio algorithm. LING 572 Fei Xia 1/11/2007. Announcement. Hw2 is online now. It is due on Jan 20. Hw1 is due at 11pm on Jan 13 (Sat). Lab session after the class. Read DT Tutorial before next Tues’ class. K-Nearest Neighbor (kNN). Instance-based (IB) learning.

1.26k views • 28 slides

Nearest Neighbor Classifiers

Nearest Neighbor Classifiers. other names: instance-based learning case-based learning (CBL) non-parametric learning model-free learning. 1-NN. save all training data to classify a test example, compute distance to each training example Euclidean distance metric

297 views • 8 slides

Nearest Neighbor

Nearest Neighbor. Ling 572 Advanced Statistical Methods in NLP January 12, 2012. Roadmap. Instance-based learning Examples and Motivation Basic algorithm: k-Nearest Neighbors Issues: Selecting Weighting Voting Summary HW #2. Instance-based Learning. aka “Lazy Learning”

663 views • 37 slides

K-nearest neighbor & Naive Bayes

27-09-2012 Data mining. Sven Kouwenhoven Adam Swarek Chantal Choufoer. K-nearest neighbor & Naive Bayes. General Plan. Part 1 Discuss K-nearest neighbor & Naive Bayes 1 Method 2 Simple example 3 Real life example Part 2 Application of the method to the Charity Case

1.82k views • 135 slides

Nearest neighbor matching

Nearest neighbor matching. USING THE GREEDY MATCH MACRO. Note: Much of the code originally was written by Lori Parsons http://www2.sas.com/proceedings/sugi26/p214-26.pdf This code has been written with simplicity as a primary concern.

624 views • 31 slides

K Nearest Neighbor Classification Methods

K Nearest Neighbor Classification Methods. Qiang Yang. Training Set. Used for prediction/classification Given input x, (e.g., <sunny, normal, ..?> #neighbors = K (e.g., k=3) Often a parameter to be determined The form of the distance function

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Nearest-Neighbor Classifiers

Nearest-Neighbor Classifiers. Requires three things The set of stored records Distance Metric to compute distance between records The value of k , the number of nearest neighbors to retrieve To classify an unknown record: Compute distance to other training records

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Query Dependent Ranking using K-Nearest Neighbor

Query Dependent Ranking using K-Nearest Neighbor. Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, Hang Li, Heung-Yeung Shum, Query Dependent Ranking with K Nearest Neighbor, Proc. of SIGIR 2008, 115-122. Introduction. Problem:

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Query Dependent Ranking Using K-Nearest Neighbor

Query Dependent Ranking Using K-Nearest Neighbor. SIGIR 2008 Presenter: Hsuan -Yu Lin. Outline. Introduction Motivation Method Experiments Conclusion. Introduction.

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Nearest Neighbor

Nearest Neighbor. Paul Hsiung March 16, 2004. Quick Review of NN. Set of points P Query point q Distance metric d Find p in P such that d(p,q) < d(p’,q) for all p’ in P. p. q. NN Used In…. Image databases [Pentland et al ] Color indexing [swain et al ]

332 views • 18 slides

K Nearest Neighbor Classification Methods

K Nearest Neighbor Classification Methods. Qiang Yang. The K-Nearest Neighbor Method. Used for prediction/classification Given input x, (e.g., <sunny, normal, ..?> #neighbors = K (e.g., k=3) Often a parameter to be determined The form of the distance function

280 views • 5 slides

K nearest neighbor

K nearest neighbor. LING 572 Fei Xia, Bill McNeill Week 2: 1/13/2009. Outline. Demo kNN Reading assignment #2. Demo. ML algorithms: Naïve Bayes, Decision stump, boosting, bagging, SVM, etc. Task: A binary classification problem with only two features.

356 views • 19 slides

K Nearest Neighbor Classification Methods

K Nearest Neighbor Classification Methods. Training Set. Used for prediction/classification Given input x, (e.g., <sunny, normal, ..?> #neighbors = K (e.g., k=3) Often a parameter to be determined The form of the distance function K neighbors in training data to the input data x:

161 views • 4 slides

K-Nearest Neighbor

K-Nearest Neighbor. Different Learning Methods. Eager Learning Explicit description of target function on the whole training set Instance-based Learning Learning=storing all training instances Classification=assigning target function to a new instance Referred to as “Lazy” learning.

491 views • 20 slides

K-Nearest Neighbor Learning

201 views • 16 slides

The K Nearest Neighbor Algorithm (kNN)

The K Nearest Neighbor Algorithm (kNN). Erik Zeitler Uppsala Database Laboratory. Examination. Examination is split in two parts Solve the assignment Oral examination During the oral examination The instructor validates your program using a script Non-working program

255 views • 12 slides

Classification Nearest Neighbor

Classification Nearest Neighbor. Instance based classifiers. Store the training samples Use training samples to predict the class label of test samples. Instance based classifiers. Examples: Rote learner memorize entire training data

230 views • 21 slides

Learning: Nearest Neighbor

Learning: Nearest Neighbor. Artificial Intelligence CMSC 25000 January 31, 2002. Agenda. Machine learning: Introduction Nearest neighbor techniques Applications: Robotic motion, Credit rating Efficient implementations: k-d trees, parallelism Extensions: K-nearest neighbor Limitations:

313 views • 29 slides

Nearest Neighbor Classifier

Artificial Intelligence. Nearest Neighbor Classifier. Dae-Won Kim. School of Computer Science & Engineering Chung-Ang University. In last class, we learned bayesian classification approaches. However, we see some limitations.

481 views • 45 slides

Classification Nearest Neighbor

Classification Nearest Neighbor. Instance based classifiers. Store the training samples Use training samples to predict the class label of unseen samples. Instance based classifiers. Examples: Rote learner memorize entire training data

226 views • 19 slides

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K-Nearest Neighbor Mobile Recommendation System

K-Nearest Neighbor Mobile Recommendation System

Presentation Transcript

K-nearest neighbor methods

K-Nearest Neighbor Learning

K nearest neighbor and Rocchio algorithm

Nearest Neighbor Classifiers

Nearest Neighbor

K-nearest neighbor &amp; Naive Bayes

Nearest neighbor matching

K Nearest Neighbor Classification Methods

Nearest-Neighbor Classifiers

Query Dependent Ranking using K-Nearest Neighbor

Query Dependent Ranking Using K-Nearest Neighbor

Nearest Neighbor

K Nearest Neighbor Classification Methods

K nearest neighbor

K Nearest Neighbor Classification Methods

K-Nearest Neighbor

K-Nearest Neighbor Learning

The K Nearest Neighbor Algorithm (kNN)

Classification Nearest Neighbor

Learning: Nearest Neighbor

Nearest Neighbor Classifier

Classification Nearest Neighbor

K-nearest neighbor & Naive Bayes