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ML
2008
ACM
248views Machine Learning» more  ML 2008»
15 years 7 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
ICDE
2008
IEEE
140views Database» more  ICDE 2008»
16 years 8 months ago
Top-k Spatial Joins of Probabilistic Objects
Probabilistic data have recently become popular in applications such as scientific and geospatial databases. For images and other spatial datasets, probabilistic values can capture...
Vebjorn Ljosa, Ambuj K. Singh
CCS
2008
ACM
15 years 9 months ago
A general model of probabilistic packet marking for IP traceback
In this paper, we model Probabilistic Packet Marking (PPM) schemes for IP traceback as an identification problem of a large number of markers. Each potential marker is associated ...
Liming Lu, Mun Choon Chan, Ee-Chien Chang
IJAR
2002
102views more  IJAR 2002»
15 years 7 months ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...
SOFTWARE
2002
15 years 7 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer