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» Using Random Forests in the Structured Language Model
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SIGIR
2006
ACM
14 years 2 months ago
Answering complex questions with random walk models
We present a novel framework for answering complex questions that relies on question decomposition. Complex questions are decomposed by a procedure that operates on a Markov chain...
Sanda M. Harabagiu, V. Finley Lacatusu, Andrew Hic...
SIGIR
2009
ACM
14 years 3 months ago
An improved markov random field model for supporting verbose queries
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Matthew Lease
CVPR
2010
IEEE
14 years 2 months ago
Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation
Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...
Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-seng chu...
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
14 years 9 days ago
Evolving musical performance profiles using genetic algorithms with structural fitness
This paper presents a system that uses Genetic Algorithm (GA) to evolve hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices) for expressive music performan...
Qijun Zhang, Eduardo Reck Miranda
IRI
2007
IEEE
14 years 3 months ago
ModelML: a Markup Language for Automatic Model Synthesis
Domain-specific modeling has become a popular way of designing and developing systems. It generally involves a systematic use of a set of object-oriented models to represent vari...
Cong Zhang, Amol Bakshi, Viktor K. Prasanna