95 search results - page 10 / 19 » Recursive Structures for Standard ML |
ESANN
2004
13 years 8 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
ML
2008
ACM
13 years 7 months ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
TLDI
2010
ACM
14 years 4 months ago
2010
ACM
ML modules are a powerful language mechanism for decomposing programs into reusable components. Unfortunately, they also have a reputation for being “complex” and requiring fa...
SODA
2004
ACM
13 years 8 months ago
2004
ACM
The inference of evolutionary trees using approaches which attempt to solve the maximum parsimony (MP) and maximum likelihood (ML) optimization problems is a standard part of much...
FOSSACS
2009
Springer
14 years 2 months ago
2009
Springer
Standard analysis on recursive data structures restrict their attention to shape properties (for instance, a program that manipulates a list returns a list), excluding properties t...