77 search results - page 5 / 16 » On the Anonymization of Sparse High-Dimensional Data |
ICDM
2009
IEEE
13 years 4 months ago
2009
IEEE
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
NIPS
2007
13 years 8 months ago
2007
We present a new class of models for high-dimensional nonparametric regression and classification called sparse additive models (SpAM). Our methods combine ideas from sparse line...
NPL
1998
13 years 6 months ago
1998
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
IJCNN
2006
IEEE
14 years 23 days ago
2006
IEEE
—The AURA k-Nearest Neighbour classifier associates binary input and output vectors, forming a compact binary Correlation Matrix Memory (CMM). For a new input vector, matching ve...
IJON
2011
13 years 1 months ago
2011
Abstract. The generative topographic mapping (GTM) has been proposed as a statistical model to represent high dimensional data by means of a sparse lattice of points in latent spac...