Towards Faster k-Nearest-Neighbor Machine Translation

May 11, 2024

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Recent works have proven the effectiveness of k-nearest- neighbor machine translation(a.k.a kNN-MT) approaches to produce remarkable improvement in cross-domain translations.

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Towards Faster k-Nearest-Neighbor Machine Translation

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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

932 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.

1.27k views • 28 slides

Machine Learning: k-Nearest Neighbor and Support Vector Machines

CMSC 471. Machine Learning: k-Nearest Neighbor and Support Vector Machines. skim 20.4, 20.6-20.7. Revised End-of-Semester Schedule. Wed 11/21 Machine Learning IV Mon 11/26 Philosophy of AI (You must read the three articles!) Wed 11/28 Special Topics Mon 12/3 Special Topics

773 views • 47 slides

K-Nearest Neighbor Mobile Recommendation System

2. ? ?. 1. ? ?. 2. ?? ??. 3. ????????? ??. 4. ???? ??. 5. ????? ??. 6. ?? ??. 7. ??. . . 8. ?????. 3. 1. ??. ??? ?? ????(nearest neighbor algorithm)?? ?? ?? ???? ???? ??? ? ??? ?? ?? ?? ???? ???? ??.NN ????? ?? ??? ???? ????(training set) ? ??? ???? ??? ?? ? ? ??? ??? ???? ??? ??? ??

541 views • 21 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”

666 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

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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Algoritma kNN (k-Nearest Neighbor)

Algoritma kNN (k-Nearest Neighbor). Deskripsi kNN. KNN adalah sebuah metode klasifikasi terhadap sekumpulan data berdasarkan pembelajaran data yang sudah terklasifikasikan sebelumya .

3.42k views • 12 slides

Nearest Neighbor

Nearest Neighbor. Sistem Berbasis Fuzzy Materi 4. Eko Prasetyo Teknik Informatika Universitas Muhammadiyah Gresik 2012. Konsep Klasifikasi.

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CS 9633 Machine Learning k-nearest neighbor

CS 9633 Machine Learning k-nearest neighbor. Chapter 8: Instance-based learning. Adapted from notes by Tom Mitchell http://www-2.cs.cmu.edu/~tom/mlbook-chapter-slides.html. A classification of learning algorithms. Eager learning algorithms Neural networks Decision trees

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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 ]

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Machine Learning Lecture 11: Nearest Neighbor

Machine Learning Lecture 11: Nearest Neighbor. Moshe Koppel Slides adapted from Raymond J. Mooney. Instance-Based Learning.

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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.

504 views • 20 slides

K-Nearest Neighbor Learning

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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

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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:

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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

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Towards Faster k-Nearest-Neighbor Machine Translation

Towards Faster k-Nearest-Neighbor Machine Translation

Presentation Transcript

K-nearest neighbor methods

K-Nearest Neighbor Learning

K nearest neighbor and Rocchio algorithm

Machine Learning: k-Nearest Neighbor and Support Vector Machines

K-Nearest Neighbor Mobile Recommendation System

Nearest Neighbor

K-nearest neighbor &amp; Naive Bayes

K Nearest Neighbor Classification Methods

Nearest-Neighbor Classifiers

Algoritma kNN (k-Nearest Neighbor)

Nearest Neighbor

CS 9633 Machine Learning k-nearest neighbor

Nearest Neighbor

Machine Learning Lecture 11: 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)

Learning: Nearest Neighbor

Nearest Neighbor Classifier

K-nearest neighbor & Naive Bayes