'Generalization error' presentation slideshows

Computational intelligence for data understanding

1.26k views • 113 slides

Kernel Methods

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1.66k views • 84 slides

Study of Classification Models and Model Selection Measures based on Moment Analysis

Study of Classification Models and Model Selection Measures based on Moment Analysis. Amit Dhurandhar and Alin Dobra. Background Classification methods What are they ? Algorithms that build prediction rules based on data.

590 views • 50 slides

Study of Classification Models and Model Selection Measures based on Moment Analysis

Study of Classification Models and Model Selection Measures based on Moment Analysis. Amit Dhurandhar and Alin Dobra. Background Classification methods What are they ? Algorithms that build prediction rules based on data.

634 views • 50 slides

Pattern Recognition in Acoustic Signal Processing

384 views • 37 slides

CSE 881: Data Mining

619 views • 36 slides

Model Assessment and Selection

Model Assessment and Selection. Chapter 7 Neil Weisenfeld, et al. Introduction. Generalization performance of a learning method: Measure of prediction capability on independent test data Guide model selection Give quantitative assessment of chosen model

574 views • 32 slides

Generalization Error of Linear Neural Networks in an Empirical Bayes Approach

460 views • 30 slides

The Dynamics of Learning Vector Quantization

The Dynamics of Learning Vector Quantization. Barbara Hammer. Michael Biehl, Anarta Ghosh. TU Clausthal-Zellerfeld Institute of Computing Science. Rijksuniversiteit Groningen Mathematics and Computing Science. The dynamics of learning. a model situation: randomized data

490 views • 30 slides

Deciding what to try next

Deciding what to try next. Advice for applying machine learning. Machine Learning. Debugging a learning algorithm: Suppose you have implemented regularized linear regression to predict housing prices.

306 views • 30 slides

Deciding what to try next

Deciding what to try next. Advice for applying machine learning. Machine Learning. Debugging a learning algorithm: Suppose you have implemented regularized linear regression to predict housing prices.

405 views • 29 slides

Data Mining

Data Mining. Model Overfitting Introduction to Data Mining, 2 nd Edition by Tan, Steinbach, Karpatne, Kumar. Classification Errors. Training errors (apparent errors) Errors committed on the training set Test errors Errors committed on the test set Generalization errors

293 views • 29 slides

Dynamics of Learning VQ and Neural Gas

Dynamics of Learning VQ and Neural Gas. Aree Witoelar, Michael Biehl Mathematics and Computing Science University of Groningen, Netherlands in collaboration with Barbara Hammer (Clausthal), Anarta Ghosh (Groningen). Outline. Vector Quantization (VQ) Analysis of VQ Dynamics

385 views • 27 slides

Generalization bounds for uniformly stable algorithms

Generalization bounds for uniformly stable algorithms. Vitaly Feldman Brain. with Jan Vondrak. Uniform stability. Domain (e.g. ) Dataset Learning algorithm Loss function. Uniform stability [ Bousquet,Elisseeff 02] : has uniform stability w.r.t. if

178 views • 16 slides