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EMNLP
2011
13 years 11 months ago
Structured Sparsity in Structured Prediction
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
André F. T. Martins, Noah A. Smith, M&aacut...
CANDC
2007
ACM
15 years 1 months ago
A computational model of the music of Stevie Ray Vaughan
Every musician who improvises has a unique musical vocabulary, which may be perceived in his or her compositions. In this paper, we explain our design of a computational model tha...
Naresh Vempala, Subrata Dasgupta
APBC
2004
125views Bioinformatics» more  APBC 2004»
15 years 1 months ago
A Dihedral Angle Database of Short Sub-sequences for Protein Structure Prediction
Protein structure prediction is considered to be the holy grail of bioinformatics. Ab initio and homology modelling are two important groups of methods used in protein structure p...
Saravanan Dayalan, Savitri Bevinakoppa, Heiko Schr...
CP
1998
Springer
15 years 4 months ago
Modelling CSP Solution Algorithms with Petri Decision Nets
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
Stephan Pontow
ICSE
2008
IEEE-ACM
15 years 12 months ago
SOA process decisions: new challenges in architectural knowledge modeling
Architectural design decisions are commonly agreed as one of the main elements that constitute architectural knowledge. To avoid knowledge vaporization, architectural decisions an...
Qing Gu, Patricia Lago