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ACL
1994
15 years 26 days 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
ALMOB
2008
85views more  ALMOB 2008»
14 years 11 months ago
Noisy: Identification of problematic columns in multiple sequence alignments
Motivation: Sequence-based methods for phylogenetic reconstruction from (nucleic acid) sequence data are notoriously plagued by two effects: homoplasies and alignment errors. Larg...
Andreas W. M. Dress, Christoph Flamm, Guido Fritzs...
COMCOM
2004
110views more  COMCOM 2004»
14 years 11 months ago
On the latency and fairness characteristics of pre-order deficit round Robin
In the emerging high-speed packet-switched networks, fair packet scheduling algorithms in switches and routers will form an important component of the mechanisms that seek to sati...
Salil S. Kanhere, Harish Sethu