2100 search results - page 244 / 420 » Learning to rank on graphs |
177
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
By the term "quantization", we refer to the process of using quantum mechanics in order to improve a classical algorithm, usually by making it go faster. In this paper, ...
169
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...
148
click to vote
ICALT
2009
IEEE
16 years 1 months ago
2009
IEEE
This paper reports on Korean Word Associations (KorWA) which were collected to construct a semantic network for Korean language. An approach of graph representation and network an...
151
click to vote
ICRA
2007
IEEE
16 years 28 days ago
2007
IEEE
— In this paper we propose an on-line incremental vision-based topological map learning for AIBO robots. The topological map is represented through a graph, where the vertices en...
153
click to vote
UAI
2001
15 years 8 months ago
2001
The search space of Bayesian Network structures is usually defined as Acyclic Directed Graphs (DAGs) and the search is done by local transformations of DAGs. But the space of Baye...