Sciweavers

593 search results - page 63 / 119
» Dealing with different distributions in learning from
Sort
View
AMAI
2004
Springer
15 years 11 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
CORR
2010
Springer
121views Education» more  CORR 2010»
15 years 1 months ago
Deep Self-Taught Learning for Handwritten Character Recognition
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Frédéric Bastien, Yoshua Bengio, Arn...
ICPADS
2007
IEEE
16 years 19 days ago
Persistence and communication state transfer in an asynchronous pipe mechanism
Abstract— Emergent wide-area distributed systems like computational grids present opportunities for large scientific applications. On these systems, communication mechanisms hav...
Philip Chan, David Abramson
IPPS
2007
IEEE
16 years 19 days ago
VoroNet: A scalable object network based on Voronoi tessellations
In this paper, we propose the design of VoroNet, an objectbased peer to peer overlay network relying on Voronoi tessellations, along with its theoretical analysis and experimental...
Olivier Beaumont, Anne-Marie Kermarrec, Loris Marc...
KI
2010
Springer
15 years 4 months ago
CoTeSys - Cognition for Technical Systems
The COTESYS cluster of excellence1 investigates cognition for technical systems such as vehicles, robots, and factories. Cognitive technical systems (CTS) are information processi...
Martin Buss, Michael Beetz