AdaBoost, short for Adaptive Boosting, is a statistical classification meta-algorithm formulated by Yoav Freund and Robert Schapire in 1995, who won the...

then developed AdaBoost, an adaptive boosting algorithm that won the prestigious Gödel Prize. Only algorithms that are provable boosting algorithms in...

discovered repeatedly in very diverse fields such as machine learning (AdaBoost, Winnow, Hedge), optimization (solving linear programs), theoretical computer...

demand. AdaBoost Random forest Catboost LightGBM XGBoost Decision tree learning Hastie, T.; Tibshirani, R.; Friedman, J. H. (2009). "10. Boosting and Additive...

LogitBoost is a boosting algorithm formulated by Jerome Friedman, Trevor Hastie, and Robert Tibshirani. The original paper casts the AdaBoost algorithm...

or not. Viola–Jones is essentially a boosted feature learning algorithm, trained by running a modified AdaBoost algorithm on Haar feature classifiers...

produce a strong learner. It has been shown, for several boosting algorithms (including AdaBoost), that regularization via early stopping can provide guarantees...

CoBoosting accomplishes this feat by borrowing concepts from AdaBoost. In both CoTrain and CoBoost the training and testing example sets must follow two properties...

on AdaBoost. In 2004 he was awarded the Paris Kanellakis Award. He was elected an AAAI Fellow in 2008. Robert Schapire; Yoav Freund (2012). Boosting: Foundations...

introduced by Yoav Freund in 2001. AdaBoost performs well on a variety of datasets; however, it can be shown that AdaBoost does not perform well on noisy...

García, N. (2012). "adabag: An R package for classification with AdaBoost.M1, AdaBoost-SAMME and Bagging". {{cite journal}}: Cite journal requires |journal=...

character recognition includes Haar-like features, Freeman Chain code, AdaBoost detection and deep learning neural networks methods. Haar-like features...

Augusta Ada King, Countess of Lovelace (née Byron; 10 December 1815 – 27 November 1852) was an English mathematician and writer, chiefly known for her...

emphasize the training instances previously mis-modeled. A typical example is AdaBoost. These can be used for regression-type and classification-type problems...

Màrquez, Lluís; Padró, Lluís (2003). A simple named entity extractor using AdaBoost (PDF). CoNLL. Tjong Kim Sang, Erik F.; De Meulder, Fien (2003). Introduction...

Dissertation Award in 1991. Together with Yoav Freund, he invented the AdaBoost algorithm in 1996. They both received the Gödel prize in 2003 for this...

ensemble techniques such as bagging and boosting. For example, a Viola–Jones face detection algorithm employs AdaBoost with decision stumps as weak learners...

simulated annealing, adaptive coordinate descent, adaptive quadrature, AdaBoost, Adagrad, Adadelta, RMSprop, and Adam. In data compression, adaptive coding...

(disambiguation), several people Robert Schapire, computer scientist who co-invented AdaBoost, a widely used machine learning meta-algorithm. Roy D. Shapiro, Professor...

to isolate the blocks best suited for human detection, they applied the AdaBoost algorithm to select those blocks to be included in the cascade. In their...

Many boosting algorithms rely on the notion of a margin to give weights to examples. If a convex loss is utilized (as in AdaBoost, LogitBoost, and all...

neural network Neural circuit Catastrophic interference Ensemble learning AdaBoost Overfitting Neural backpropagation Backpropagation through time Use C {\displaystyle...

decision-theoretic generalization of on-line learning and an application to boosting" (PDF), Journal of Computer and System Sciences, 55 (1): 119–139, doi:10...

increase in clock speeds with the Ada Lovelace architecture with the RTX 4090's base clock speed being higher than the boost clock speed of the RTX 3090 Ti...

t-distributed stochastic neighbor embedding (t-SNE) Ensemble learning AdaBoost Boosting Bootstrap aggregating (Bagging) Ensemble averaging – process of creating...

Zero-attribute rule Boosting (meta-algorithm): Use many weak learners to boost effectiveness AdaBoost: adaptive boosting BrownBoost: a boosting algorithm that...

categorization can be tried, such as support vector machine (SVM) and AdaBoost. Kernel trick is also applicable when kernel based classifier is used,...

Haar-like feature approach to object recognition in digital images to launch AdaBoost, the first real-time frontal-view face detector. By 2015, the Viola–Jones...

aggregating (bagging) developed by Leo Breiman 1995 – AdaBoost algorithm, the first practical boosting algorithm, was introduced by Yoav Freund and Robert...

Abdelrahman (2017-06-13). "AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces". arXiv:1706.04277...