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NAACL
2010
15 years 4 months ago
Constraint-Driven Rank-Based Learning for Information Extraction
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
Sameer Singh, Limin Yao, Sebastian Riedel, Andrew ...
SIGIR
2012
ACM
13 years 8 months ago
Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
Hyun Joon Jung, Matthew Lease
ISBI
2006
IEEE
16 years 7 months ago
Improved segmentation of focal cortical dysplasia lesions on MRI using expansion towards cortical boundaries
Focal cortical dysplasia (FCD), a malformation of cortical development, is an important cause of intractable epilepsy. On Magnetic Resonance Images (MRI), FCD lesions are difficul...
Olivier Colliot, Tommaso Mansi, Pierre Besson, Ned...
IROS
2007
IEEE
179views Robotics» more  IROS 2007»
16 years 19 days ago
A comparative study of conventional visual servoing schemes in microsystem applications
— This paper presents an experimental comparison of conventional (calibrated and uncalibrated) image based visual servoing methods in various microsystem applications. Both visua...
Hakan Bilen, Muhammet A. Hocaoglu, Erol Ozgur, Mus...
ISNN
2004
Springer
15 years 11 months ago
Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm
A flexible neural network (FNN) is a multilayer feedforward neural network with the characteristics of: (1) overlayer connections; (2) variable activation functions for different...
Yuehui Chen, Bo Yang, Jiwen Dong