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ICML
2007
IEEE
16 years 4 months ago
Learning nonparametric kernel matrices from pairwise constraints
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
15 years 7 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
AIEDU
2008
174views more  AIEDU 2008»
15 years 4 months ago
Automatic Extraction of Pedagogic Metadata from Learning Content
Annotating learning material with metadata allows easy reusability by different learning/tutoring systems. Several metadata standards have been developed to represent learning obje...
Devshri Roy, Sudeshna Sarkar, Sujoy Ghose
ATAL
2008
Springer
15 years 6 months ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp
JGO
2010
117views more  JGO 2010»
15 years 2 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu