Sciweavers

IJMMS
1998
137views more  IJMMS 1998»
13 years 10 months ago
A context model for knowledge-intensive case-based reasoning
: Decision-support systems that help solving problems in open and weak theory domains, i.e. hard problems, need improved methods to ground their models in real world situations. Mo...
Pinar Öztürk, Agnar Aamodt
CN
2007
224views more  CN 2007»
13 years 11 months ago
Automated adaptive intrusion containment in systems of interacting services
Large scale distributed systems typically have interactions among different services that create an avenue for propagation of a failure from one service to another. The failures ...
Yu-Sung Wu, Bingrui Foo, Yu-Chun Mao, Saurabh Bagc...
CORR
2008
Springer
80views Education» more  CORR 2008»
13 years 11 months ago
Multi-Layer Perceptrons and Symbolic Data
In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multila...
Fabrice Rossi, Brieuc Conan-Guez
FLAIRS
2004
14 years 8 days ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
AGENTS
2001
Springer
14 years 3 months ago
Implementing soft real-time agent control
Real-time control has become increasingly important as technologies are moved from the lab into real world situations. The complexity associated with these systems increases as co...
Régis Vincent, Bryan Horling, Victor R. Les...
ICML
2005
IEEE
14 years 11 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli