The following pages link to AdaBoost.MH (Q20526):
Displaying 50 items.
- Induction of multiclass multifeature split decision trees from distributed data (Q2270798) (← links)
- ADtreesLogit model for customer churn prediction (Q2271853) (← links)
- Feature extraction using conformal geometric algebra for AdaBoost algorithm based in-plane rotated face detection (Q2274732) (← links)
- Boosted multi-class semi-supervised learning for human action recognition (Q2275984) (← links)
- A probabilistic model of classifier competence for dynamic ensemble selection (Q2276007) (← links)
- Bagging of density estimators (Q2282605) (← links)
- Efficient temporal pattern recognition by means of dissimilarity space embedding with discriminative prototypes (Q2290336) (← links)
- Ensemble quantile classifier (Q2291292) (← links)
- Robustness of learning algorithms using hinge loss with outlier indicators (Q2292231) (← links)
- A hierarchy of sum-product networks using robustness (Q2302778) (← links)
- \textsc{Rankboost} \(+\): an improvement to \textsc{Rankboost} (Q2303658) (← links)
- A survey on semi-supervised learning (Q2303675) (← links)
- The \(\delta \)-machine: classification based on distances towards prototypes (Q2304085) (← links)
- Nonparametric screening under conditional strictly convex loss for ultrahigh dimensional sparse data (Q2313277) (← links)
- Estimating a sharp convergence bound for randomized ensembles (Q2317334) (← links)
- EMD and GNN-adaboost fault diagnosis for urban rail train rolling bearings (Q2321715) (← links)
- Boosting as a kernel-based method (Q2331677) (← links)
- Regression trees and forests for non-homogeneous Poisson processes (Q2339551) (← links)
- Cross-conformal predictors (Q2352364) (← links)
- Multilabel classification through random graph ensembles (Q2353005) (← links)
- Fusing vantage point trees and linear discriminants for fast feature classification (Q2359576) (← links)
- An empirical study of on-line models for relational data streams (Q2361576) (← links)
- Classification by evolutionary ensembles (Q2369589) (← links)
- On PAC learning algorithms for rich Boolean function classes (Q2382283) (← links)
- Improved second-order bounds for prediction with expert advice (Q2384131) (← links)
- Multi-class learning by smoothed boosting (Q2384151) (← links)
- Quadratic boosting (Q2384982) (← links)
- Hedge algorithm and dual averaging schemes (Q2392814) (← links)
- T3C: improving a decision tree classification algorithm's interval splits on continuous attributes (Q2418312) (← links)
- Hierarchical mixing linear support vector machines for nonlinear classification (Q2418742) (← links)
- Accelerated gradient boosting (Q2425242) (← links)
- Step decision rules for multistage stochastic programming: a heuristic approach (Q2440766) (← links)
- Simultaneous adaptation to the margin and to complexity in classification (Q2456017) (← links)
- Neural network ensembles: evaluation of aggregation algorithms (Q2457679) (← links)
- Real-time object recognition using relational dependency based on graphical model (Q2459581) (← links)
- Online linear optimization and adaptive routing (Q2462507) (← links)
- An empirical study of using Rotation Forest to improve regressors (Q2470171) (← links)
- Analysis of boosting algorithms using the smooth margin function (Q2473080) (← links)
- Multi-group support vector machines with measurement costs: A biobjective approach (Q2478436) (← links)
- An efficient modified boosting method for solving classification problems (Q2479397) (← links)
- Diversification for better classification trees (Q2499153) (← links)
- Multicategory large margin classification methods: hinge losses vs. coherence functions (Q2510115) (← links)
- Forecasting financial and macroeconomic variables using data reduction methods: new empirical evidence (Q2511793) (← links)
- A boosting method with asymmetric mislabeling probabilities which depend on covariates (Q2512782) (← links)
- Boosting with early stopping: convergence and consistency (Q2583412) (← links)
- Joint face and head tracking inside multi-camera smart rooms (Q2641946) (← links)
- Ensemble learning HMM for motion recognition and retrieval by Isomap dimension reduction (Q2644508) (← links)
- Invariant pattern recognition using contourlets and adaboost (Q2654220) (← links)
- A data mining approach to face detection (Q2654286) (← links)
- A novel margin based algorithm for feature extraction (Q2655576) (← links)
