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» A Learner with a Sense for Quality
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ALT
2008
Springer
15 years 10 months ago
Learning with Temporary Memory
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
Steffen Lange, Samuel E. Moelius, Sandra Zilles
ICALT
2007
IEEE
15 years 8 months ago
Cultivating the Web 2.0 jungle
The quality of a learning process is not something that is delivered to a learner by an online provider but rather constitutes a process of co-production between the learner and t...
Madhumita Bhattacharya, Jon Dron
ACL
2009
14 years 11 months ago
Realistic Grammar Error Simulation using Markov Logic
The development of Dialog-Based ComputerAssisted Language Learning (DB-CALL) systems requires research on the simulation of language learners. This paper presents a new method for...
Sungjin Lee, Gary Geunbae Lee
AAAI
2006
15 years 3 months ago
When a Decision Tree Learner Has Plenty of Time
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
ALT
2008
Springer
15 years 10 months ago
Optimal Language Learning
Gold’s original paper on inductive inference introduced a notion of an optimal learner. Intuitively, a learner identifies a class of objects optimally iff there is no other lea...
John Case, Samuel E. Moelius