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» A Theory for Memory-Based Learning
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MM
2009
ACM
269views Multimedia» more  MM 2009»
16 years 26 days ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
CIKM
2007
Springer
16 years 15 days ago
Structure and semantics for expressive text kernels
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
Stephan Bloehdorn, Alessandro Moschitti
CSEE
2007
Springer
16 years 15 days ago
Creating Meaningful Assessments for Professional Development Education in Software Architecture
Extensive instructional materials have been developed and used for courses in specific software architecture topics offered at the Software Engineering Institute (SEI) at Carnegie...
Elspeth Golden, Len Bass
ECML
2007
Springer
16 years 15 days ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
ECTEL
2007
Springer
16 years 15 days ago
Using MotSaRT to Support On-Line Teachers in Student Motivation
Motivation to learn is affected by a student’s self-efficacy, goal orientation, locus of control and perceived task difficulty. In the classroom, teachers know how to motivate th...
Teresa Hurley, Stephan Weibelzahl