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IJPP
2011
115views more  IJPP 2011»
12 years 11 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...
IIE
2008
112views more  IIE 2008»
13 years 7 months ago
Towards a Blended Learning Model for Teaching and Learning Computer Programming: A Case Study
Blended learning is becoming an attractive model in higher education as new innovative information technologies are becoming increasingly available. However, just blending face-to-...
Said Hadjerrouit
ALT
2004
Springer
14 years 4 months ago
Probabilistic Inductive Logic Programming
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Luc De Raedt, Kristian Kersting
LFCS
1992
Springer
13 years 11 months ago
Machine Learning of Higher Order Programs
A generator program for a computable function (by definition) generates an infinite sequence of programs all but finitely many of which compute that function. Machine learning of ...
Ganesh Baliga, John Case, Sanjay Jain, Mandayam Su...
ICFP
2010
ACM
13 years 8 months ago
Logical types for untyped languages
Programmers reason about their programs using a wide variety of formal and informal methods. Programmers in untyped languages such as Scheme or Erlang are able to use any such met...
Sam Tobin-Hochstadt, Matthias Felleisen