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ICML
2005
IEEE
16 years 7 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 11 months ago
Harmony search for structural design
Various algorithms have been developed and applied to structural optimization, in which cross-sectional areas of structure members are assumed to be continuous. In most cases of p...
Zong Woo Geem, Kang Seok Lee, Chung-Li Tseng
APBC
2007
110views Bioinformatics» more  APBC 2007»
15 years 7 months ago
Fast Structural Similarity Search Based on Topology String Matching
ibe an abstract data model of protein structures by representing the geometry of proteins using spatial data types and present a framework for fast structural similarity search bas...
Sung-Hee Park, David Gilbert, Keun Ho Ryu
PVLDB
2010
131views more  PVLDB 2010»
15 years 4 months ago
XSACT: A Comparison Tool for Structured Search Results
Studies show that about 50% of web search is for information exploration purpose, where a user would like to investigate, compare, evaluate, and synthesize multiple relevant resul...
Ziyang Liu, Sivaramakrishnan Natarajan, Peng Sun, ...
JMLR
2011
142views more  JMLR 2011»
15 years 1 months ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...