Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

20

AISC
2010
Springer

favoriteEmaildiscussreport

286views Artificial Intelligence» more AISC 2010»

Reducing Expression Size Using Rule-Based Integration

13 years 9 months ago

Reducing Expression Size Using Rule-Based Integration

Download www.apmaths.uwo.ca

This paper describes continuing progress on the development of a repository of transformation rules relevant to indeﬁnite integration. The methodology, however, is not restricted to integration. Several optimization goals are being pursued, including achieving the best form for the output, reducing the size of the repository while retaining its scope, and minimizing the number of steps required for the evaluation process. New optimizations for expression size are presented.

David J. Jeffrey, Albert D. Rich

Real-time Traffic

AISC 2010 | Artificial Intelligence | Repository | Several Optimization Goals | Transformation Rules |

claim paper

Related Content

» Reducing complexity of rule based models via meta mining

» RuleBased Generation of XML Schemas from UML Class Diagrams

» Nonmonotonic Ontological and RuleBased Reasoning with Extended Conceptual Logic Programs

» Reducing the Size of NFAs by Using Equivalences and Preorders

» Probabilistic and RuleBased Tagger of an Inflective Language a Comparison

» Integrative analysis of multiple gene expression profiles with qualityadjusted effect size...

» Reducing TCB size by using untrusted components small kernels versus virtualmachine monito...

» Integration of emotional reactions on human facial expressions into the robot head MEXI

» MAID An effect size based model for microarray data integration across laboratories and p...

Post Info
More Details (n/a)

Added	18 Jul 2010
Updated	18 Jul 2010
Type	Conference
Year	2010
Where	AISC
Authors	David J. Jeffrey, Albert D. Rich

Comments (0)