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JMLR
2012
13 years 7 months ago
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
JALC
2008
72views more  JALC 2008»
15 years 4 months ago
Maximal Error-Detecting Capabilities of Formal Languages
A combinatorial channel is a set of pairs of words describing all the possible input-output channel situations. We introduce the concept "maximal error-detecting capability&q...
Stavros Konstantinidis, Pedro V. Silva
IHI
2012
266views Healthcare» more  IHI 2012»
14 years 13 days ago
A software tool for large-scale sharing and querying of clinical documents modeled using HL7 version 3 standard
We present a novel software tool called CDN (Collaborative Data Network) for large-scale sharing and querying of clinical documents modeled using HL7 v3 standard (e.g., Clinical D...
Praveen R. Rao, Tivakar Komara Swami, Deepthi S. R...
166
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AGTIVE
2007
Springer
15 years 11 months ago
Applying a Grouping Operator in Model Transformations
The usability of model transformation languages depends on the abstractions one can work with in rules to perform complex operations on models. Recently, we have introduced a novel...
Daniel Balasubramanian, Anantha Narayanan, Sandeep...

Book
363views
17 years 3 months ago
Computational Linguistics: Models, Resources, Applications
"Can computers meaningfully process human language? If this is difficult, why? If this is possible, how? This book introduces the reader to the fascinating science of computat...
Igor A. Bolshakov and Alexander Gelbukh