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» Learning with non-positive kernels
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KDD
2005
ACM
143views Data Mining» more  KDD 2005»
14 years 8 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
SIGCSE
2004
ACM
141views Education» more  SIGCSE 2004»
14 years 1 months ago
Running on the bare metal with GeekOS
Undergraduate operating systems courses are generally taught e of two approaches: abstract or concrete. In the approach, students learn the concepts underlying operating systems t...
David Hovemeyer, Jeffrey K. Hollingsworth, Bobby B...
CIDM
2009
IEEE
14 years 11 days ago
Empirical comparison of graph classification algorithms
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
ICIP
2005
IEEE
14 years 10 months ago
Local manifold matching for face recognition
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
Wei Liu, Wei Fan, Yunhong Wang, Tieniu Tan
ICML
2009
IEEE
14 years 9 months ago
Hilbert space embeddings of conditional distributions with applications to dynamical systems
In this paper, we extend the Hilbert space embedding approach to handle conditional distributions. We derive a kernel estimate for the conditional embedding, and show its connecti...
Le Song, Jonathan Huang, Alexander J. Smola, Kenji...