177 search results - page 22 / 36 » Kernel Logistic Regression and the Import Vector Machine |
99
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IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— The ability to identify protein binding sites and to detect specific amino acid residues that contribute to the specificity and affinity of protein interactions has importan...
100
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PPSC
1997
15 years 1 months ago
1997
Sparse matrix-vector multiplication is an important kernel that often runs inefficiently on superscalar RISC processors. This paper describes techniques that increase instruction-...
101
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ICANNGA
2009
Springer
15 years 6 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
161
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
111
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KDD
2000
ACM
15 years 3 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...