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» Approximation Algorithms for Some Graph Partitioning Problem...
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ICML
2005
IEEE
16 years 5 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
COCOA
2009
Springer
15 years 11 months ago
A PTAS for Node-Weighted Steiner Tree in Unit Disk Graphs
Abstract. The node-weighted Steiner tree problem is a variation of classical Steiner minimum tree problem. Given a graph G = (V, E) with node weight function C : V → R+ and a sub...
Xianyue Li, Xiao-Hua Xu, Feng Zou, Hongwei Du, Pen...
146
Voted
CPM
1999
Springer
127views Combinatorics» more  CPM 1999»
15 years 9 months ago
A New Indexing Method for Approximate String Matching
We present a new indexing method for the approximate string matching problem. The method is based on a su x tree combined with a partitioning of the pattern. We analyze the resulti...
Gonzalo Navarro, Ricardo A. Baeza-Yates
142
Voted
TIT
1998
79views more  TIT 1998»
15 years 4 months ago
Greedy and Heuristic Algorithms for Codes and Colorings
Abstract— Many of the fundamental coding problems can be represented as graph problems. These problems are often intrinsically difficult and unsolved even if the code length is ...
Tuvi Etzion, Patric R. J. Östergård
171
Voted
JMLR
2012
13 years 7 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...