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ICML
2004
IEEE
15 years 6 months ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi
96
Voted
ACL
2007
15 years 2 months ago
Generalizing Tree Transformations for Inductive Dependency Parsing
Previous studies in data-driven dependency parsing have shown that tree transformations can improve parsing accuracy for specific parsers and data sets. We investigate to what ex...
Jens Nilsson, Joakim Nivre, Johan Hall
119
Voted
PLDI
1995
ACM
15 years 4 months ago
APT: A Data Structure for Optimal Control Dependence Computation
The control dependence relation is used extensively in restructuring compilers. This relation is usually represented using the control dependence graph; unfortunately, the size of...
Keshav Pingali, Gianfranco Bilardi
86
Voted
BMCBI
2010
74views more  BMCBI 2010»
15 years 28 days ago
A weighted q-gram method for glycan structure classification
Background: Glycobiology pertains to the study of carbohydrate sugar chains, or glycans, in a particular cell or organism. Many computational approaches have been proposed for ana...
Limin Li, Wai-Ki Ching, Takako Yamaguchi, Kiyoko F...
CGF
2004
97views more  CGF 2004»
15 years 20 days ago
Implicit Visualization and Inverse Modeling of Growing Trees
A method is proposed for photo-realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending branching structure...
Callum Galbraith, Lars Mündermann, Brian Wyvi...