50 search results - page 10 / 10 » Probabilistic Arc Consistency: A Connection between Constrai... |
NIPS
2004
13 years 6 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
FOCS
1995
IEEE
13 years 8 months ago
1995
IEEE
This paper continues the investigation of the connection between probabilistically checkable proofs PCPs the approximability of NP-optimization problems. The emphasis is on prov...
KR
2010
Springer
13 years 9 months ago
2010
Springer
This is a case-study in knowledge representation. We analyze the ‘one hundred prisoners and a lightbulb’ puzzle. In this puzzle it is relevant what the agents (prisoners) know...
ILP
2005
Springer
13 years 10 months ago
2005
Springer
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
CORR
2011
Springer
2011
Springer
On a linear programming approach to the discrete Willmore boundary value problem and generalizations
12 years 12 months ago
We consider the problem of finding (possibly non connected) discrete surfaces spanning a finite set of discrete boundary curves in the three-dimensional space and minimizing (glo...