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ICMLA
2010
15 years 14 days ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 6 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
WOSP
2005
ACM
15 years 8 months ago
A model transformation framework for the automated building of performance models from UML models
In order to effectively validate the performance of software systems throughout their development cycle it is necessary to continuously build performance models from software mod...
Andrea D'Ambrogio
RECOMB
2010
Springer
15 years 4 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...
ECML
2000
Springer
15 years 6 months ago
Learning Context-Free Grammars with a Simplicity Bias
We examine the role of simplicity in directing the induction of context-free grammars from sample sentences. We present a rational reconstruction of Wol 's SNPR { the Gridssys...
Pat Langley, Sean Stromsten