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» Approximate Expectation Maximization
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COLT
2000
Springer
15 years 7 months ago
Model Selection and Error Estimation
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
Peter L. Bartlett, Stéphane Boucheron, G&aa...
105
Voted
IRI
2006
IEEE
15 years 9 months ago
Replacing full rectangles by dense rectangles: Concept lattices and attribute implications
— Maximal full rectangles in tabular data are useful in several areas of data engineering. This paper presents a survey of results in which we replace “full rectangles” by ...
Radim Belohlávek, Vilém Vychodil
FSTTCS
2001
Springer
15 years 7 months ago
The Directed Minimum-Degree Spanning Tree Problem
Consider a directed graph G = (V, E) with n vertices and a root vertex r ∈ V . The DMDST problem for G is one of constructing a spanning tree rooted at r, whose maximal degree is...
Radha Krishnan, Balaji Raghavachari
127
Voted
TAMC
2007
Springer
15 years 9 months ago
Approximation Algorithms for 3D Orthogonal Knapsack
We study non-overlapping axis-parallel packings of 3D boxes with profits into a dedicated bigger box where rotation is either forbidden or permitted; we wish to maximize the total...
Florian Diedrich, Rolf Harren, Klaus Jansen, Ralf ...
ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 4 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari