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TSP
2010
13 years 2 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
UAIS
2010
13 years 2 months ago
Auditory universal accessibility of data tables using naturally derived prosody specification
Abstract Text documents usually embody visually oriented meta-information in the form of complex visual structures, such as tables. The semantics involved in such objects result in...
Dimitris Spiliotopoulos, Gerasimos Xydas, Georgios...
POPL
2011
ACM
12 years 10 months ago
Pick your contexts well: understanding object-sensitivity
ensitivity has emerged as an excellent context abstraction for points-to analysis in object-oriented languages. Despite its practical success, however, object-sensitivity is poorl...
Yannis Smaragdakis, Martin Bravenboer, Ondrej Lhot...
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 10 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
DGO
2011
237views Education» more  DGO 2011»
12 years 7 months ago
Modeling digital preservation capabilities in enterprise architecture
The rising awareness of the challenges of preserving information over the long term has led to a wealth of initiatives developing economic models, methods, tools, systems, guideli...
Christoph Becker, Gonçalo Antunes, Jos&eacu...