搜索结果: 1-8 共查到“PAC-Bayesian”相关记录8条 . 查询时间(0.068 秒)
PAC-Bayesian Estimation and Prediction in Sparse Additive Models
Additive models sparsity regression estimation PAC-Bayesian bounds oracle inequality MCMC stochastic search.
font style='font-size:12px;'>
2012/9/17
The present paper is about estimation and prediction in high-dimensional additive models under a sparsity assumption (p nparadigm).A PAC-Bayesian strategy is investigated, delivering oracle inequaliti...
PAC-Bayesian Majority Vote for Late Classifier Fusion
Machine Learning Multimedia fusion Multi-modality search Ranking and re-ranking
font style='font-size:12px;'>
2012/9/18
A lot of attention has been devoted to multimedia indexing over the past few years. In the literature, we often consider two kinds of fusion schemes: Theearly fusionand thelate fusion. In this paper w...
PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off
coherent framework PAC-Bayesian Analysis Exploration-Exploitation Trade-off
font style='font-size:12px;'>
2011/6/21
We develop a coherent framework for integrative
simultaneous analysis of the explorationexploitation
and model order selection tradeoffs.
We improve over our preceding results
on the same subject ...
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits
PAC-Bayesian Analysis Martingales Multiarmed Bandits
font style='font-size:12px;'>
2011/6/21
We present two alternative ways to apply PAC-Bayesian analysis to sequences of dependent
random variables. The first is based on a new lemma that enables to bound expectations
of convex functions of...
PAC-Bayesian aggregation and multi-armed bandits
PAC-Bayesian aggregation multi-armed bandits
font style='font-size:12px;'>
2010/11/22
This habilitation thesis presents several contributions to (1) the PAC-Bayesian analysis of statistical learning, (2) the three aggregation problems: given d functions, how to predict as well as (i) ...
Robust linear regression through PAC-Bayesian truncation
Linear regression Generalization error Shrinkage
font style='font-size:12px;'>
2010/10/14
We consider the problem of predicting as well as the best linear combination of d given functions in least squares regression under $L^\infty$ constraints on the linear combination. When the input dis...
Pac-bayesian bounds for sparse regression estimation with exponential weights
Sparsity Oracle Inequality High-dimensional Regression
font style='font-size:12px;'>
2010/12/6
We consider the sparse regression model where the number of parameters p is larger than the sample size n. The difficulty when considering high-dimensional problems is to propose estimators achieving ...
Risk bounds in linear regression through PAC-Bayesian truncation
Linear regression Generalization error Shrinkage PAC-Bayesian theorems Risk bounds Robust statistics Resistant estimators
font style='font-size:12px;'>
2010/3/18
We consider the problem of predicting as well as the best linear combination
of d given functions in least squares regression, and variants of this problem including
constraints on the parameters of...