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» Learning with Temporary Memory
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IWANN
1999
Springer
13 years 11 months ago
The Capacity and Attractor Basins of Associative Memory Models
The performance characteristics of five variants of the Hopfield network are examined. Two performance metrics are used: memory capacity, and a measure of the size of basins of att...
Neil Davey, S. P. Hunt
CSCW
2004
ACM
14 years 24 days ago
Learning from project history: a case study for software development
The lack of lightweight communication channels and other technical and sociological difficulties make it hard for new members of a non-collocated software development team to lea...
Davor Cubranic, Gail C. Murphy, Janice Singer, Kel...
CONNECTION
2004
92views more  CONNECTION 2004»
13 years 7 months ago
High capacity associative memories and connection constraints
: High capacity associative neural networks can be built from networks of perceptrons, trained using simple perceptron training. Such networks perform much better than those traine...
Neil Davey, Rod Adams
MLDM
2009
Springer
14 years 1 months ago
Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series
The paper describes a method for predicting climate time series that consist of significant annual and diurnal seasonal components and a short-term stockastic component. A memory...
Daniel Nikovski, Ganesan Ramachandran
SIGCSE
2004
ACM
140views Education» more  SIGCSE 2004»
14 years 23 days ago
CS1 assessment using memory diagrams
Understanding the execution of an object-oriented program can be a challenge for a student starting a CS1 course. We believe that a type of diagram that we call a memory diagram c...
Mark A. Holliday, David Luginbuhl