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ICALT
2008
IEEE
16 years 26 days ago
Enhancing Reusability of IMS LD Units of Learning: The e-LD Approach
In this paper we describe the e-LD approach for the design and repurposing of Units of Learning (UoLs). This approach is centered in domain-specific Educational Modeling Languages...
Iván Martínez-Ortiz, José Lui...
COLT
2003
Springer
15 years 11 months ago
Learning Random Log-Depth Decision Trees under the Uniform Distribution
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
Jeffrey C. Jackson, Rocco A. Servedio
158
Voted
ICML
2002
IEEE
16 years 7 months ago
Is Combining Classifiers Better than Selecting the Best One
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
Saso Dzeroski, Bernard Zenko
149
Voted
COLT
2007
Springer
16 years 17 days ago
Aggregation by Exponential Weighting and Sharp Oracle Inequalities
In the present paper, we study the problem of aggregation under the squared loss in the model of regression with deterministic design. We obtain sharp oracle inequalities for conve...
Arnak S. Dalalyan, Alexandre B. Tsybakov
ICML
2010
IEEE
15 years 7 months ago
Exploiting Data-Independence for Fast Belief-Propagation
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
Julian John McAuley, Tibério S. Caetano