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NIPS
2004
15 years 8 months ago
Semi-supervised Learning via Gaussian Processes
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
Neil D. Lawrence, Michael I. Jordan
DEDUCTIVE
1994
133views Database» more  DEDUCTIVE 1994»
15 years 8 months ago
Expressive Power of Non-Deterministic Operators for Logic-based Languages
Non-deterministic operators are needed in First-Order relational languages and Datalog to extend the expressive power of such languages and support efficient formulations of lowco...
Luca Corciulo, Fosca Giannotti, Dino Pedreschi, Ca...
BIRTHDAY
2010
Springer
15 years 7 months ago
Finding Reductions Automatically
Abstract. We describe our progress building the program ReductionFinder, which uses off-the-shelf SAT solvers together with the Cmodels system to automatically search for reduction...
Michael Crouch, Neil Immerman, J. Eliot B. Moss
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
15 years 7 months ago
A novel methodology for diversity preservation in evolutionary algorithms
In this paper we describe an improvement of an entropy-based diversity preservation approach for evolutionary algorithms. This approach exploits the information contained not only...
Giovanni Squillero, Alberto Paolo Tonda
ICPR
2010
IEEE
15 years 6 months ago
Hyper Least Squares and Its Applications
We present a new form of least squares (LS), called “hyperLS”, for geometric problems that frequently appear in computer vision applications. Doing rigorous error analysis, we...
Prasanna Rangarajan, Kenichi Kanatani, Hirotaka Ni...