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AAIP
2009
15 years 5 months ago
Incremental Learning in Inductive Programming
Inductive programming systems characteristically exhibit an exponential explosion in search time as one increases the size of the programs to be generated. As a way of overcoming ...
Robert Henderson
161
Voted
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 4 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
DAC
2003
ACM
16 years 4 months ago
Learning from BDDs in SAT-based bounded model checking
Bounded Model Checking (BMC) based on Boolean Satisfiability (SAT) procedures has recently gained popularity as an alternative to BDD-based model checking techniques for finding b...
Aarti Gupta, Malay K. Ganai, Chao Wang, Zijiang Ya...
GROUP
2009
ACM
15 years 7 months ago
GroupMind: supporting idea generation through a collaborative mind-mapping tool
Collaborative brainstorming can be a challenging but important part of creative group problem solving. Mind-mapping has the potential to enhance the brainstorming process but has ...
Patrick C. Shih, David H. Nguyen, Sen H. Hirano, D...
RE
2010
Springer
15 years 2 months ago
Assessing traceability of software engineering artifacts
Abstract The generation of traceability links or traceability matrices is vital to many software engineering activities. It is also person-power intensive, time-consuming, error-pr...
Senthil Karthikeyan Sundaram, Jane Huffman Hayes, ...