Add to ORKGProceedings of the 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, Washington DC 2003. Lecture Notes in Computer Science n° 277
Aggregation is a fundamental non-equilibrium process in which reactive clusters join together irreve...
AbstractAssume that each object in a database has m grades, or scores, one for each of m attributes....
We develop minimax optimal risk bounds for the general learning task consisting in predicting as wel...
International audienceIn the same spirit as Tsybakov (2003), we define the optimality of an aggregat...
PARIS-BIUSJ-Thèses (751052125) / SudocPARIS-BIUSJ-Mathématiques rech (751052111) / SudocSudocFranceF
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
15 pagesLet $\cF$ be a set of $M$ classification procedures with values in $[-1,1]$. Given a loss fu...
We introduce an alternative to the notion of ‘fast rate’ in Learning Theory, which coincides with th...
Given a finite class of functions F, the problem of aggregation is to construct a procedure with a r...
Available from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-24105 Kie...
Given a finite set F of estimators, the problem of aggregation is to construct a new estimator whose...
The integration of computers into many facets of our lives has made the collection and storage of st...
Processing sets or other unordered, potentially variable-sized inputs in neural networks is usually ...
We introduce a new recursive aggregation procedure called Bernstein Online Ag-gregation (BOA). The e...
We introduce a nonlinear aggregation type classifier for functional data defined on a separable and ...
Aggregation is a fundamental non-equilibrium process in which reactive clusters join together irreve...
AbstractAssume that each object in a database has m grades, or scores, one for each of m attributes....
We develop minimax optimal risk bounds for the general learning task consisting in predicting as wel...
International audienceIn the same spirit as Tsybakov (2003), we define the optimality of an aggregat...
PARIS-BIUSJ-Thèses (751052125) / SudocPARIS-BIUSJ-Mathématiques rech (751052111) / SudocSudocFranceF
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
15 pagesLet $\cF$ be a set of $M$ classification procedures with values in $[-1,1]$. Given a loss fu...
We introduce an alternative to the notion of ‘fast rate’ in Learning Theory, which coincides with th...
Given a finite class of functions F, the problem of aggregation is to construct a procedure with a r...
Available from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-24105 Kie...
Given a finite set F of estimators, the problem of aggregation is to construct a new estimator whose...
The integration of computers into many facets of our lives has made the collection and storage of st...
Processing sets or other unordered, potentially variable-sized inputs in neural networks is usually ...
We introduce a new recursive aggregation procedure called Bernstein Online Ag-gregation (BOA). The e...
We introduce a nonlinear aggregation type classifier for functional data defined on a separable and ...
Aggregation is a fundamental non-equilibrium process in which reactive clusters join together irreve...
AbstractAssume that each object in a database has m grades, or scores, one for each of m attributes....
We develop minimax optimal risk bounds for the general learning task consisting in predicting as wel...