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153
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ICGI
1998
Springer
15 years 9 months ago
Learning k-Variable Pattern Languages Efficiently Stochastically Finite on Average from Positive Data
Abstract. The present paper presents a new approach of how to convert Gold-style [4] learning in the limit into stochastically finite learning with high confidence. We illustrate t...
Peter Rossmanith, Thomas Zeugmann
184
Voted
EACL
1993
ACL Anthology
15 years 6 months ago
Using an Annotated Corpus as a Stochastic Grammar
In Data Oriented Parsing (DOP), an annotated corpus is used as a stochastic grammar. An input string is parsed by combining subtrees from the corpus. As a consequence, one parse t...
Rens Bod
ORL
2006
87views more  ORL 2006»
15 years 5 months ago
SPAR: stochastic programming with adversarial recourse
We consider a general adversarial stochastic optimization model. Our model involves the design of a system that an adversary may subsequently attempt to destroy or degrade. We int...
Matthew D. Bailey, Steven M. Shechter, Andrew J. S...
161
Voted
QEST
2009
IEEE
16 years 9 days ago
Mean-Field Analysis for the Evaluation of Gossip Protocols
—Gossip protocols are designed to operate in very large, decentralised networks. A node in such a network bases its decision to interact (gossip) with another node on its partial...
Rena Bakhshi, Lucia Cloth, Wan Fokkink, Boudewijn ...
ICCD
2006
IEEE
171views Hardware» more  ICCD 2006»
16 years 2 months ago
Stochastic Dynamic Thermal Management: A Markovian Decision-based Approach
This paper proposes a stochastic dynamic thermal management (DTM) technique in high-performance VLSI system with especial attention to the uncertainty in temperature observation. ...
Hwisung Jung, Massoud Pedram