366 search results - page 3 / 74 » Producibility in hierarchical self-assembly |
JMLR
2012
11 years 7 months ago
2012
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
IAJIT
2011
12 years 9 months ago
2011
: This paper presents a classifier that is based on a modified version of the well known K-Nearest Neighbors classifier (K-NN). The original K-NN classifier was adjusted to work wi...
KBSE
2006
IEEE
13 years 11 months ago
2006
IEEE
Hierarchical diagrams are well-suited for visualizing the structure and decomposition of complex systems. However, the current tools poorly support modeling, visualization and nav...
APIN
2000
13 years 5 months ago
2000
: A new dynamic tree structured network - the Stochastic Competitive Evolutionary Neural Tree (SCENT) is introduced. The network is able to provide a hierarchical classification of...
IJCSS
2000
13 years 5 months ago
2000
This paper describes a new approach, HIDER (HIerarchical DEcision Rules), for learning rules in continuous and discrete domains based on evolutive algorithms. The algorithm produce...