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ACL
1994
13 years 9 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
NAACL
1994
13 years 9 months ago
A Report of Recent Progress in Transformation-Based Error-Driven Learning
Most recent research in trainable part of speech taggers has explored stochastic tagging. While these taggers obtain high accuracy, linguistic information is captured indirectly, ...
Eric Brill
SWAP
2007
13 years 8 months ago
UFOme: A User Friendly Ontology Mapping Environment
Recently the Ontology Mapping Problem (OMP) has been identified as a key factor towards the success of the Semantic Web and related applications. This problem arises since it is po...
Giuseppe Pirrò, Domenico Talia
APVIS
2009
13 years 8 months ago
Visualization of signal transduction processes in the crowded environment of the cell
In this paper, we propose a stochastic simulation to model and analyze cellular signal transduction. The high number of objects in a simulation requires advanced visualization tec...
Martin Falk, Michael Klann, Matthias Reuss, Thomas...
ATAL
2010
Springer
13 years 8 months ago
Decision rules and decision markets
We explore settings where a principal must make a decision about which action to take to achieve a desired outcome. The principal elicits the probability of achieving the outcome ...
Abraham Othman, Tuomas Sandholm