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» Modeling High-Dimensional Data by Combining Simple Experts
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STOC
1997
ACM
97views Algorithms» more  STOC 1997»
15 years 1 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
ADBIS
2007
Springer
136views Database» more  ADBIS 2007»
15 years 3 months ago
An Agile Process for the Creation of Conceptual Models from Content Descriptions
It is widely accepted practice to build domain models as a conceptual basis for software systems. Normally, the conceptual schema cannot be supplied by domain experts but is constr...
Sebastian Bossung, Hans-Werner Sehring, Henner Car...
MICCAI
2005
Springer
15 years 10 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
ML
2010
ACM
141views Machine Learning» more  ML 2010»
14 years 8 months ago
Relational retrieval using a combination of path-constrained random walks
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
Ni Lao, William W. Cohen
ICSM
2002
IEEE
15 years 2 months ago
Combining Software Quality Predictive Models: An Evolutionary Approach
During the past ten years, a large number of quality models have been proposed in the literature. In general, the goal of these models is to predict a quality factor starting from...
Salah Bouktif, Houari A. Sahraoui, Balázs K...