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ICML
2006
IEEE
14 years 8 months ago
Hierarchical classification: combining Bayes with SVM
We study hierarchical classification in the general case when an instance could belong to more than one class node in the underlying taxonomy. Experiments done in previous work sh...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
ICML
2003
IEEE
14 years 8 months ago
Hierarchical Policy Gradient Algorithms
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
Mohammad Ghavamzadeh, Sridhar Mahadevan
WWW
2006
ACM
14 years 8 months ago
Analysis of communication models in web service compositions
In this paper we describe an approach for the verification of Web service compositions defined by sets of BPEL processes. The key aspect of such a verification is the model adopte...
Raman Kazhamiakin, Marco Pistore, Luca Santuari
ALT
2001
Springer
14 years 5 months ago
Learning Recursive Functions Refutably
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas...
TLDI
2009
ACM
142views Formal Methods» more  TLDI 2009»
14 years 4 months ago
Static extraction of sound hierarchical runtime object graphs
For many object-oriented systems, it is often useful to have a runtime architecture that shows networks of communicating objects. But it is hard to statically extract runtime obje...
Marwan Abi-Antoun, Jonathan Aldrich