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boosting algorithm

MoL 2005 02: 
  The Value of Agreement: a new Boosting Algorithm

MoL 2005 02: The Value of Agreement: a new Boosting Algorithm

... an algorithm to construct it) that can ade- quately solve a supervised learning problem is hard, devising a ‘rule of thumb’ which is just slightly better than random guessing is fairly easy in many ...decade ...

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A Boosting Algorithm for Classification of Semi Structured Text

A Boosting Algorithm for Classification of Semi Structured Text

... our Boosting algorithm in which the subtree-based decision stumps are ap- plied as weak ...learning algorithm. We also discuss the relation be- tween our algorithm and SVMs (Boser et ...

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AdaP-Boost: An Iterative Personalized Adaptive Boosting Algorithm for Improving Recommender Stability

AdaP-Boost: An Iterative Personalized Adaptive Boosting Algorithm for Improving Recommender Stability

... in boosting algorithm, especially for the existing and more expecting ...the boosting algorithm this segments the social network into several sub-networks and each of them correspond to ...

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Improved Machine Learning using Adaptive Boosting algorithm in Membrane Protein Prediction

Improved Machine Learning using Adaptive Boosting algorithm in Membrane Protein Prediction

... Adaptive Boosting, in paper [7] suggested first to practical use of boosting ...methods, boosting is one of the methods to improves the learning quality and accuracy ...regression-based ...

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Implementation of Face Detection System using Adaptive Boosting Algorithm

Implementation of Face Detection System using Adaptive Boosting Algorithm

... adaptive boosting algorithm and uses haar features which is based on statistical methods to detect ...face. Algorithm is implemented in MATLAB and synthesized by using Verilog on ...

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METHODS, THEORY OF BOOSTING ALGORITHM A REVIEW

METHODS, THEORY OF BOOSTING ALGORITHM A REVIEW

... Schapires boosting are recent strategies for enhancing the prescient power of classifier learning ...and boosting by altering the weights of preparing ...classification algorithm, for example, ...

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An Efficient Boosting Algorithm for Combining Preferences

An Efficient Boosting Algorithm for Combining Preferences

... efficient algorithm called RankBoost for combining preferences based on the boosting approach to machine ...the algorithm for a particular restricted but common ...the algorithm to combine ...

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Facial Affect Recognition Using Regularized Discriminant Analysis-Based Algorithms

Facial Affect Recognition Using Regularized Discriminant Analysis-Based Algorithms

... analysis-based boosting algorithm (RDAB) with effective Gabor features to recognize the facial ...RDAB algorithm uses RDA as a learner in the boosting ...(PSO) algorithm to estimate ...

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Experiments with Two New Boosting Algorithms

Experiments with Two New Boosting Algorithms

... called Boosting-MultiTAN that is compared with the Boosting-BAN classifier which is boosting based on BAN ...the Boosting-BAN has higher classification accuracy on most data sets, but ...

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AdaBoost is Consistent

AdaBoost is Consistent

... the boosting algorithm or a positive lower bound on Q 00 ( f ; h) for all f ...consider boosting algorithms with unrestricted step size, the only option would be to assume a positive lower bound on ...

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A Boosting-based Algorithm for Classification of Semi-Structured Text using the Frequency of Substructures

A Boosting-based Algorithm for Classification of Semi-Structured Text using the Frequency of Substructures

... a boosting algorithm for classifying a text that is a set of sentences represented by ...The algorithm learns rules represented by subtrees with their frequency ...Existing boosting- based ...

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Classification Boosting in Imbalanced Data

Classification Boosting in Imbalanced Data

... is boosting. Boosting can improve performance by exploiting classification errors, which involves using the base ...SMOTE-Boosting algorithm (Chawla et al, 2003) which provides good ...

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EMOTION RECOGNITION FROM SPEECH WITH GAUSSIAN MIXTURE MODELS AND VIA BOOSTED GMM

EMOTION RECOGNITION FROM SPEECH WITH GAUSSIAN MIXTURE MODELS AND VIA BOOSTED GMM

... EM algorithm, we start with an initial estimate p0 (a GMM) and iteratively add to this estimate a small component qt at round ...of boosting that more focus is put on the examples with low probabilities ...

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Multivariate adaptive regression splines models for vehicular emission prediction

Multivariate adaptive regression splines models for vehicular emission prediction

... a boosting algorithm for improving the performance of MARS ...The algorithm, intro- duced by Freund and Schapire 1997, has been successfully applied to several benchmark machine learning problems ...

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FUZZY PREDICTION METHOD FOR STOCK PRICE BASED ON AN ENHANCED BOOSTING ALGORITHMQiansheng Zhang*1 , Ziqi Wu2 , Qiting Chen3 & Lushuo Wei4

FUZZY PREDICTION METHOD FOR STOCK PRICE BASED ON AN ENHANCED BOOSTING ALGORITHMQiansheng Zhang*1 , Ziqi Wu2 , Qiting Chen3 & Lushuo Wei4

... Boosting algorithm is a kind of ensemble learning which can improve the accuracy of weak classification ...of boosting regression learning, it is significant to construct a reasonable loss ...

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2. A Mathematical Programmer’s View of AdaBoost

2. A Mathematical Programmer’s View of AdaBoost

... optimization algorithm based on gradient criteria (Gill et ...the boosting algorithm before the overtraining produces numeric problems due to finite precision ...

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Improving Face Detection Rate Using AdaBoost

Improving Face Detection Rate Using AdaBoost

... is boosting method. The most famous boosting algorithm is Adaboost, which is widely used in the fields of ...advanced algorithm based on LBP and structured Adaboost algorithm are used ...

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Some Theory for Generalized Boosting Algorithms

Some Theory for Generalized Boosting Algorithms

... of boosting, clarifying the issues through a few simple results, and relate our work and that of others to the minimax paradigm of ...the boosting algorithm and prove its convergence to the Bayes ...

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Research on E-mail Filtering Based On Improved Bayesian

Research on E-mail Filtering Based On Improved Bayesian

... learning algorithm which performs just slightly better than random guessing in the PAC model can be “boosted” into an arbitrarily accurate “strong” learning ...polynomial-time boosting algorithm in ...

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An Inductor based DC/DC Converter for Energy Harvesting Application with Low Input Voltage

An Inductor based DC/DC Converter for Energy Harvesting Application with Low Input Voltage

... are Boosting stage, Timing circuit and Regulator ...1.2v, boosting stage requires two cascaded step up converter that is stepup1 and ...In boosting stage transistor is used as a ...

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