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AAAI
2011
12 years 9 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...
ICSE
2008
IEEE-ACM
14 years 9 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
AAAI
2010
13 years 10 months ago
A Temporal Proof System for General Game Playing
A general game player is a system that understands the rules of unknown games and learns to play these games well without human intervention. A major challenge for research in Gen...
Michael Thielscher, Sebastian Voigt
ICML
2009
IEEE
14 years 9 months ago
Importance weighted active learning
We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
Alina Beygelzimer, Sanjoy Dasgupta, John Langford
ICML
1994
IEEE
14 years 14 days ago
A Conservation Law for Generalization Performance
Conservation of information (COI) popularized by the no free lunch theorem is a great leveler of search algorithms, showing that on average no search outperforms any other. Yet in ...
Cullen Schaffer