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» Structured Sparsity in Structured Prediction
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EMNLP
2011
14 years 1 months ago
Universal Morphological Analysis using Structured Nearest Neighbor Prediction
In this paper, we consider the problem of unsupervised morphological analysis from a new angle. Past work has endeavored to design unsupervised learning methods which explicitly o...
Young-Bum Kim, João Graça, Benjamin ...
SLIP
2009
ACM
15 years 8 months ago
From 3D circuit technologies and data structures to interconnect prediction
New technologies such as 3D integration are becoming a new force that is keeping Moore’s law in effect in today’s nano era. By adding a third dimension in current 2D circuits...
Robert Fischbach, Jens Lienig, Tilo Meister
ISMB
1994
15 years 3 months ago
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
Hiroshi Mamitsuka, Naoki Abe
BMCBI
2008
131views more  BMCBI 2008»
15 years 2 months ago
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
Max Bylesjö, Mattias Rantalainen, Jeremy K. N...
ALT
2008
Springer
15 years 11 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster