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COGSCI
2010
85views more  COGSCI 2010»
13 years 9 months ago
The Effects of Feature-Label-Order and Their Implications for Symbolic Learning
Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood....
Michael Ramscar, Daniel Yarlett, Melody Dye, Katie...
PKDD
2000
Springer
107views Data Mining» more  PKDD 2000»
14 years 13 days ago
Expert Constrained Clustering: A Symbolic Approach
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
Fabrice Rossi, Frédérick Vautrain
ICANNGA
2009
Springer
134views Algorithms» more  ICANNGA 2009»
14 years 3 months ago
A Generative Model for Self/Non-self Discrimination in Strings
A statistical generative model is presented as an alternative to negative selection in anomaly detection of string data. We extend the probabilistic approach to binary classificat...
Matti Pöllä
IWPT
2001
13 years 10 months ago
Parsing and Hypergraphs
While symbolic parsers can be viewed as deduction systems, this view is less natural for probabilistic parsers. We present a view of parsing as directed hypergraph analysis which ...
Dan Klein, Christopher D. Manning
ICCAD
2001
IEEE
104views Hardware» more  ICCAD 2001»
14 years 5 months ago
A Symbolic Simulation-Based Methodology for Generating Black-Box Timing Models of Custom Macrocells
We present a methodology for generating black-box timing models for full-custom transistor-level CMOS circuits. Our approach utilizes transistor-level ternary symbolic timing simu...
Clayton B. McDonald, Randal E. Bryant