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TSP
2010
14 years 9 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
14 years 9 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
14 years 5 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»
14 years 5 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»
14 years 2 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...