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ACL
1994
15 years 8 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
CHI
2011
ACM
14 years 10 months ago
Collaborative creativity: a complex systems model with distributed affect
The study of creativity has received significant attention over the past century, with a recent increase in interest in collaborative, distributed creativity. We posit that creati...
Cecilia R. Aragon, Alison Williams
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
15 years 11 months ago
The unavailable candidate model: a decision-theoretic view of social choice
One of the fundamental problems in the theory of social choice is aggregating the rankings of a set of agents (or voters) into a consensus ranking. Rank aggregation has found appl...
Tyler Lu, Craig Boutilier
182
Voted
SAIG
2000
Springer
15 years 10 months ago
Generating Data Analysis Programs from Statistical Models
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...
JSAC
2006
102views more  JSAC 2006»
15 years 6 months ago
A deterministic frequency-domain model for the indoor power line transfer function
The characterization of the transfer function of the power line (PL) channel is a nontrivial task that requires a truly interdisciplinary approach. Until recently, a common attribu...
S. Galli, Thomas C. Banwell