9 search results - page 2 / 2 » On Structural Analysis of Parliamentarian Voting Data |
MCS
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. Given an arbitrary data set, to which no particular parametrical, statistical or geometrical structure can be assumed, different clustering algorithms will in general pr...
AIME
2003
Springer
13 years 10 months ago
2003
Springer
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
ICDAR
2011
IEEE
12 years 4 months ago
2011
IEEE
—In this paper we propose a symbol spotting technique through hashing the shape descriptors of graph paths (Hamiltonian paths). Complex graphical structures in line drawings can ...
ICTAI
2006
IEEE
13 years 11 months ago
2006
IEEE
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...