113 search results - page 7 / 23 » Structural Machine Learning with Galois Lattice and Graphs |
NIPS
2004
14 years 11 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
110
Voted
CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...