3694 search results - page 105 / 739 » Stochastic complexity in learning |
NPL
2002
13 years 9 months ago
2002
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
CP
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. VLSI chips design is becoming increasingly complex and calling for more and more automation. Many chip design problems can be formulated naturally as constraint problems ...
ICCAD
2005
IEEE
14 years 3 months ago
2005
IEEE
— Balanced truncation (BT) model order reduction (MOR) is known for its superior accuracy and computable error bounds. Balanced stochastic truncation (BST) is a particular BT pro...
SAMOS
2005
Springer
14 years 3 months ago
2005
Springer
The design of appropriate communication architectures for complex Systems-on-Chip (SoC) is a challenging task. One promising alternative to solve these problems are Networks-on-Chi...
ATAL
2004
Springer
14 years 3 months ago
2004
Springer
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...