scholarly journals Learning with ordinal-bounded memory from positive data

2012 ◽  
Vol 78 (5) ◽  
pp. 1623-1636
Author(s):  
Lorenzo Carlucci ◽  
Sanjay Jain ◽  
Frank Stephan
Keyword(s):  
Bounded Memory ◽  
Positive Data

Estimating Grammar Parameters using Bounded Memory

2002 ◽  
Author(s):  
Tom Oates ◽  
Brent Heeringa
Keyword(s):  
Bounded Memory

LEARNING DYNAMICS AND NONLINEAR MISSPECIFICATION IN AN ARTIFICIAL FINANCIAL MARKET

2009 ◽  
Vol 13 (5) ◽  
pp. 625-655 ◽  
Author(s):  
Christophre Georges ◽  
John C. Wallace
Keyword(s):  
Time Series ◽  
Financial Market ◽  
Consistency Condition ◽  
Nonlinear Structure ◽  
State Variable ◽  
Bounded Memory ◽  
Long Run ◽  
Finite Memory ◽  
Aggregate Dynamics ◽  
True Structure

In this paper, we explore the consequence of learning to forecast in a very simple environment. Agents have bounded memory and incorrectly believe that there is nonlinear structure underlying the aggregate time series dynamics. Under social learning with finite memory, agents may be unable to learn the true structure of the economy and rather may chase spurious trends, destabilizing the actual aggregate dynamics. We explore the degree to which agents' forecasts are drawn toward a minimal state variable learning equilibrium as well as a weaker long-run consistency condition.

Learning concepts and their unions from positive data with refinement operators

2015 ◽  
Vol 79 (1-3) ◽  
pp. 181-203
Author(s):  
Seishi Ouchi ◽  
Tomohiko Okayama ◽  
Keisuke Otaki ◽  
Ryo Yoshinaka ◽  
Akihiro Yamamoto
Keyword(s):  
Positive Data ◽  
Refinement Operators

SOME SUFFICIENT CONDITIONS OF LEARNABILITY IN THE LIMIT FROM POSITIVE DATA

2000 ◽  
Vol 11 (03) ◽  
pp. 515-524
Author(s):  
TAKESI OKADOME
Keyword(s):  
Sufficient Conditions ◽  
Sufficient Condition ◽  
Necessary And Sufficient Condition ◽  
Conditions For Learning ◽  
Positive Data ◽  
Necessary And Sufficient ◽  
Learning In The Limit

The paper deals with learning in the limit from positive data. After an introduction and overview of earlier results, we strengthen a result of Sato and Umayahara (1991) by establishing a necessary and sufficient condition for the satisfaction of Angluin's (1980) finite tell-tale condition. Our other two results show that two notions introduced here, the finite net property and the weak finite net property, lead to sufficient conditions for learning in the limit from positive data. Examples not solvable by earlier methods are also given.

scholarly journals Isolated velopalatine paralysis associated with parvovirus B19 infection

2006 ◽  
Vol 64 (3a) ◽  
pp. 603-605 ◽  
Author(s):  
João P. Soares-Fernandes ◽  
Ricardo Maré
Keyword(s):  
Cerebrospinal Fluid ◽  
Nerve Palsy ◽  
Parvovirus B19 ◽  
Brain Mri ◽  
Sudden Onset ◽  
Recent Infection ◽  
Positive Data ◽  
Cerebrospinal Fluid Examination ◽  
Parvovirus B19 Infection

A case of isolated velopalatine paralysis in an 8-year-old boy is presented. The symptoms were sudden-onset of nasal speech, regurgitation of liquids into the nose and dysphagia. Brain MRI and cerebrospinal fluid examination were normal. Infectious serologies disclosed an antibody arrangement towards parvovirus B19 that was typical of recent infection. In the absence of other positive data, the possibility of a correlation between the tenth nerve palsy and parvovirus infection is discussed.

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