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ACL
1994
13 years 6 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
ALMOB
2008
85views more  ALMOB 2008»
13 years 5 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»
13 years 4 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