Sciweavers

5109 search results - page 9 / 1022
» On Learning Limiting Programs
Sort
View
JMLR
2012
12 years 7 days ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
ICSE
2008
IEEE-ACM
14 years 10 months ago
Best practices in extreme programming course design
Teaching (and therefore learning) eXtreme Programming (XP) in a university setting is difficult because of course time limitations and the soft nature of XP that requires first-ha...
Kai Stapel, Daniel Lübke, Eric Knauss
IJPP
2011
115views more  IJPP 2011»
13 years 1 months ago
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon...
GPCE
2004
Springer
14 years 3 months ago
SourceWeave.NET: Cross-Language Aspect-Oriented Programming
Aspect-Oriented Programming (AOP) addresses limitations in the Object-Oriented (OO) paradigm relating to modularisation of crosscutting behaviour. In AOP, crosscutting behaviour is...
Andrew Jackson, Siobhán Clarke
ACSAC
2004
IEEE
14 years 1 months ago
.NET Security: Lessons Learned and Missed from Java
Many systems execute untrusted programs in virtual machines (VMs) to limit their access to system resources. Sun introduced the Java VM in 1995, primarily intended as a lightweigh...
Nathanael Paul, David Evans