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HIS
2008
15 years 5 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
215
Voted
ICDE
2000
IEEE
101views Database» more  ICDE 2000»
16 years 4 months ago
DB2 Advisor: An Optimizer Smart Enough to Recommend Its Own Indexes
This paper introduces the concept of letting an RDBMS Optimizer optimize its own environment. In our project, we have used the DB2 Optimizer to tackle the index selection problem,...
Gary Valentin, Michael Zuliani, Daniel C. Zilio, G...
165
Voted
KIC
2000
15 years 5 months ago
Design Simplification by Analogical Reasoning
Abstract: This paper presents some results of our research on design simplification by analogical reasoning. It first defines what we mean by a simplification problem. Then it desc...
M. E. Balazs, David C. Brown
106
Voted
NIPS
2003
15 years 5 months ago
An MDP-Based Approach to Online Mechanism Design
Online mechanism design (MD) considers the problem of providing incentives to implement desired system-wide outcomes in systems with self-interested agents that arrive and depart ...
David C. Parkes, Satinder P. Singh
135
Voted
IFIP
2010
Springer
14 years 10 months ago
Combining Software and Hardware LCS for Lightweight On-Chip Learning
In this paper we present a novel two-stage method to realize a lightweight but very capable hardware implementation of a Learning Classifier System for on-chip learning. Learning C...
Andreas Bernauer, Johannes Zeppenfeld, Oliver Brin...