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NIPS
2004
15 years 7 months ago
Maximising Sensitivity in a Spiking Network
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...
Anthony J. Bell, Lucas C. Parra
P2PKM
2004
15 years 7 months ago
Ontology-based Service Discovery in P2P Networks
The ubiquitous computing vision is to make knowledge and services easily available in our everyday environments. A wide range of devices, applications and services can be intercon...
Daniel Elenius, Magnus Ingmarsson
NIPS
2001
15 years 7 months ago
Global Coordination of Local Linear Models
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...
NIPS
2001
15 years 7 months ago
K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
Pascal Vincent, Yoshua Bengio
WSC
2004
15 years 7 months ago
"One" a New Tool for Supply Chain Network Optimization and Simulation
Nowadays, in a hotly competitive environment, companies are continuously trying to provide products and/or services to customers faster, cheaper, and better than the competitors d...
Hongwei Ding, Lyès Benyoucef, Xiaolan Xie, ...