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ACL
1994
15 years 2 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 4 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 5 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
113
Voted
SAIG
2000
Springer
15 years 4 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 23 days 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