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NIPS
2008
13 years 9 months ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
IMR
2005
Springer
14 years 1 months ago
A fews snags in mesh adaptation loops
The first stage in an adaptive finite element scheme (cf. [CAS95, bor1]) consists in creating an initial mesh of a given domain Ω, which is used to perform an initial computati...
Frédéric Hecht
JMLR
2012
11 years 10 months ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
IPPS
1998
IEEE
13 years 11 months ago
Multicasting and Broadcasting in Large WDM Networks
We address the issue of multicasting and broadcasting in wide area WDM networks in which a source broadcasts a message to all members in S V. We formalize it as the optimal multi...
Weifa Liang, Hong Shen
APPROX
2008
Springer
83views Algorithms» more  APPROX 2008»
13 years 9 months ago
Sampling Hypersurfaces through Diffusion
Abstract. We are interested in efficient algorithms for generating random samples from geometric objects such as Riemannian manifolds. As a step in this direction, we consider the ...
Hariharan Narayanan, Partha Niyogi