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» An Application of Boosting to Graph Classification
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ECAI
2008
Springer
13 years 9 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
JBI
2004
163views Bioinformatics» more  JBI 2004»
13 years 8 months ago
Artificial Chemistries and Metabolic Pathways
Metabolism can be regarded as a network of biochemical reactions, connected via their substrates and products. A metabolic pathway is thus a coordinated series of reactions, and i...
Liliana Félix, Francesc Rosselló, Ga...
IJCAI
1997
13 years 8 months ago
On the Efficient Classification of Data Structures by Neural Networks
Marco Gori Dipartimento di Ingegneria deU'Informazione Universita di Siena Via Roma 56 53100 Siena, Italy Alessandro Sperduti Dipartimento di Informatica Universita di Pisa C...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
SIGIR
2008
ACM
13 years 7 months ago
Learning query intent from regularized click graphs
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
Xiao Li, Ye-Yi Wang, Alex Acero
SIAMDM
2008
123views more  SIAMDM 2008»
13 years 7 months ago
Adapted List Coloring of Graphs and Hypergraphs
We introduce and study adapted list coloring of graphs and hypergraphs. This is a generalization of ordinary list coloring and adapted coloring, and has more applications than thes...
Alexandr V. Kostochka, Xuding Zhu