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ISMIS
2000
Springer
13 years 10 months ago
Prediction of Ordinal Classes Using Regression Trees
This paper is devoted to the problem of learning to predict ordinal (i.e., ordered discrete) classes using classification and regression trees. We start with S-CART, a tree inducti...
Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 8 days ago
Parameterized versus generative representations in structural design: an empirical comparison
Any computational approach to design, including the use of evolutionary algorithms, requires the transformation of the domain-specific knowledge into a formal design representatio...
Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De ...
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 9 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
BMCBI
2005
97views more  BMCBI 2005»
13 years 6 months ago
Evolutionary distance estimation and fidelity of pair wise sequence alignment
Background: Evolutionary distances are a critical measure in comparative genomics and molecular evolutionary biology. A simulation study was used to examine the effect of alignmen...
Michael S. Rosenberg
PRL
2007
131views more  PRL 2007»
13 years 6 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classi...
Xiaodong He, Li Deng