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### Statistical learning theory

Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. [1] Statistical learning theory deals ...### Machine learning

Machine learning focuses on prediction, based on ... Machine learning and statistics are ... Software suites containing a variety of machine learning algorithms ...### Bregman divergence

... to distances defined by Bregman divergence ... defined by an arbitrary Bregman divergence. Thus, algorithms from "normal ... set based distance measures ...### Non-negative matrix factorization ...

Non-negative matrix factorization ... Some successful algorithms are based on alternating non ... In Memorizeing the parts of objects by non-negative matrix ...### Kernel embedding of distributions ...

Memorizeing algorithms based on this framework ... learning via the kernel embedding of distributions offers a principled ... Statistics based on kernel ...### Data analysis techniques for fraud detection - Wikipedia ...

Data analysis techniques for fraud detection ... Machine Memorizeing and Statistics. ... records are then used to train a supervised machine learning algorithm.

### Geometry of U-Boost Algorithms - researchgate.net

We propose U-Boost learning algorithms, ... based on the Bregman divergence ... we discuss some properties of the U-Boost algorithms from the statistical point of ...### Efficient Bregman Range Search. - ResearchGate - Share and ...

Efficient Bregman Range Search ... It arises in many learning algorithms such as locally ... Computing point-correlation statistics, distance-based outliers ...### Logistic Regression, AdaBoost and Bregman Distances

Logistic Regression, AdaBoost and Bregman ... Logistic Regression, AdaBoost and Bregman ... These algorithms are iterative and can be divided into two types based ...### Information Geometry of U-Boost and Bregman Divergence ...

Information Geometry of U-Boost and Bregman ... mainly along statistical learning theory ... U-Boost algorithm based on the Bregman divergence and ...### Robust Statistical Ranking: Theory and Algorithms

simple yet scalable algorithms are developed based on Licloseized Bregman Iteration to ... algorithms for robust statistical ... Journal of Machine Memorizeing ...### Bregman Divergence-Based Regularization for Transfer ...

learning algorithms based on a modern form of ... Dept. of Statistics, ... Proving relative loss bounds for online learning algorithms by the Bregman divergence.

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