ICDM
2009
IEEE
14 years 6 months ago
2009
IEEE
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
ICDM
2009
IEEE
14 years 6 months ago
2009
IEEE
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
ICDM
2009
IEEE
14 years 6 months ago
2009
IEEE
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
ICDM
2009
IEEE
14 years 6 months ago
2009
IEEE
—Identification of nodes relevant to a given node in a relational network is a basic problem in network analysis with great practical importance. Most existing network analysis ...
ICDM
2009
IEEE
14 years 6 months ago
2009
IEEE
—The nature of the Blogosphere determines that the majority of bloggers are only connected with a small number of fellow bloggers, and similar bloggers can be largely disconnecte...
ICDM
2009
IEEE
14 years 6 months ago
2009
IEEE
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...
ICDM
2009
IEEE
14 years 6 months ago
2009
IEEE
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
ICDM
2009
IEEE
14 years 6 months ago
2009
IEEE
—Time series motifs are sets of very similar subsequences of a long time series. They are of interest in their own right, and are also used as inputs in several higher-level data...
ICDM
2009
IEEE
14 years 6 months ago
2009
IEEE
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
ICDM
2009
IEEE
14 years 6 months ago
2009
IEEE
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...