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ICML
2008
IEEE
16 years 12 days ago
Metric embedding for kernel classification rules
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G....
CIDU
2010
14 years 9 months ago
Optimal Partitions of Data In Higher Dimensions
Given any collection of data cells in a data space X, consider the problem of finding the optimal partition of the data cells into blocks which are unions of cells. The algorithms...
Bradley W. Jackson, Jeffrey D. Scargle, Chris Cusa...
ICALP
2009
Springer
15 years 12 months ago
Approximating Markov Processes by Averaging
We take a dual view of Markov processes ? advocated by Kozen ? as transformers of bounded measurable functions. We redevelop the theory of labelled Markov processes from this view ...
Philippe Chaput, Vincent Danos, Prakash Panangaden...
CP
2007
Springer
15 years 5 months ago
AND/OR Multi-valued Decision Diagrams for Constraint Optimization
We propose a new top down search-based algorithm for compiling AND/OR Multi-Valued Decision Diagrams (AOMDDs), as representations of the optimal set of solutions for constraint opt...
Robert Mateescu, Radu Marinescu 0002, Rina Dechter
PEPM
2007
ACM
15 years 5 months ago
Poly-controlled partial evaluation in practice
Poly-Controlled Partial Evaluation (PCPE) is a powerful approach to partial evaluation, which has recently been proposed. PCPE takes into account sets of control strategies instea...
Claudio Ochoa, Germán Puebla