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ACL
1994
14 years 11 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 1 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
ECCV
2002
Springer
15 years 11 months ago
Transitions of the 3D Medial Axis under a One-Parameter Family of Deformations
The instabilities of the medial axis of a shape under deformations have long been recognized as a major obstacle to its use in recognition and other applications. These instabilit...
Peter J. Giblin, Benjamin B. Kimia
POPL
2010
ACM
15 years 7 months ago
Higher-Order Multi-Parameter Tree Transducers and Recursion Schemes for Program Verification
We introduce higher-order, multi-parameter, tree transducers (HMTTs, for short), which are kinds of higher-order tree transducers that take input trees and output a (possibly infi...
Naoki Kobayashi, Naoshi Tabuchi, Hiroshi Unno
SIGECOM
2005
ACM
90views ECommerce» more  SIGECOM 2005»
15 years 3 months ago
ICE: an iterative combinatorial exchange
We present the first design for a fully expressive iterative combinatorial exchange (ICE). The exchange incorporates a tree-based bidding language that is concise and expressive ...
David C. Parkes, Ruggiero Cavallo, Nick Elprin, Ad...