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» On the Complexity of Real Functions
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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
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
15 years 7 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
PICS
2003
15 years 7 months ago
Selection of Training Sets for the Characterisation of Multispectral Imaging Systems
To establish a correlation between the system output and the corresponding reflectance, the system characterisation functionDeriving the actual multispectral data from the output o...
Paolo Pellegri, Gianluca Novati, Raimondo Schettin...
AAAI
1994
15 years 7 months ago
Heuristic Harvesting of Information for Case-Based Argument
The BankXX system models the process of perusing and gathering information for argument as a heuristic best-first search for relevant cases, theories, and other domain-specific in...
Edwina L. Rissland, David B. Skalak, M. Timur Frie...
ATAL
2010
Springer
15 years 7 months ago
Deception in networks of mobile sensing agents
Recent studies have investigated how a team of mobile sensors can cope with real world constraints, such as uncertainty in the reward functions, dynamically appearing and disappea...
Viliam Lisý, Roie Zivan, Katia P. Sycara, M...
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