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» Generalization Bounds for Some Ordinal Regression Algorithms
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GD
2005
Springer
14 years 28 days ago
Drawing Graphs Using Modular Decomposition
Abstract. In this paper we present an algorithm for drawing an undirected graph G which takes advantage of the structure of the modular decomposition tree of G. Specifically, our ...
Charis Papadopoulos, Constantinos Voglis
STOC
1992
ACM
122views Algorithms» more  STOC 1992»
13 years 11 months ago
Existence and Construction of Edge Disjoint Paths on Expander Graphs
Given an expander graph G = (V, E) and a set of q disjoint pairs of vertices in V , we are interested in finding for each pair (ai, bi), a path connecting ai to bi, such that the ...
Andrei Z. Broder, Alan M. Frieze, Eli Upfal
AAAI
2008
13 years 9 months ago
How Good is Almost Perfect?
Heuristic search using algorithms such as A and IDA is the prevalent method for obtaining optimal sequential solutions for classical planning tasks. Theoretical analyses of these ...
Malte Helmert, Gabriele Röger
SODA
2008
ACM
200views Algorithms» more  SODA 2008»
13 years 8 months ago
Clustering for metric and non-metric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...
Marcel R. Ackermann, Johannes Blömer, Christi...
JMLR
2010
143views more  JMLR 2010»
13 years 5 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...