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ICML
2005
IEEE
14 years 9 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
IJMSO
2007
76views more  IJMSO 2007»
13 years 8 months ago
Towards an automatic monitoring for higher education Learning Design
: The development of new Information Technologies have originated new possibilities to develop pedagogical methodologies that provide the necessary knowledge and skills in the High...
David Camacho, María Dolores Rodrígu...
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
14 years 9 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
EDM
2010
154views Data Mining» more  EDM 2010»
13 years 7 months ago
Can We Get Better Assessment From A Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessme
Dynamic assessment (DA) has been advocated as an interactive approach to conduct assessments to students in the learning systems as it can differentiate student proficiency at a fi...
Mingyu Feng, Neil T. Heffernan
ICML
2005
IEEE
14 years 9 months ago
Using additive expert ensembles to cope with concept drift
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
Jeremy Z. Kolter, Marcus A. Maloof