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ICML
2006
IEEE
16 years 7 months ago
Robust Euclidean embedding
We derive a robust Euclidean embedding procedure based on semidefinite programming that may be used in place of the popular classical multidimensional scaling (cMDS) algorithm. We...
Lawrence Cayton, Sanjoy Dasgupta
COLT
2007
Springer
16 years 22 days ago
Bounded Parameter Markov Decision Processes with Average Reward Criterion
Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP). Unlike the case of an MDP, t...
Ambuj Tewari, Peter L. Bartlett
JMLR
2010
136views more  JMLR 2010»
15 years 1 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
WER
2005
Springer
16 years 15 hour ago
Multi-Perspective Requirements Engineering for Networked Business Systems: A Framework for Pattern Composition
How business and software analysts explore, document, and negotiate requirements for enterprise systems is critical to the benefits their organizations will eventually derive. In t...
Zlatko Zlatev, Maya Daneva, Roel Wieringa
VLDB
1993
ACM
91views Database» more  VLDB 1993»
15 years 10 months ago
Managing Semantic Heterogeneity with Production Rules and Persistent Queues
Abstract. We show that production rules and persistent queues together provide a convenient mechanism for maintaining consistency in semantically heterogeneous multidatabase enviro...
Stefano Ceri, Jennifer Widom