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IJCAI
2001
15 years 4 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
FLAIRS
2004
15 years 4 months 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
KDD
1998
ACM
99views Data Mining» more  KDD 1998»
15 years 7 months ago
Learning to Predict the Duration of an Automobile Trip
In this paper, weexplore the use of machinelearning and data mining to improvethe prediction of travel times in an automobile. Weconsider two formulations of this problem, one tha...
Simon Handley, Pat Langley, Folke A. Rauscher
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WCNC
2008
IEEE
15 years 9 months ago
Senslets- Applets for the Sensor Internet
The Sensor Internet provides access to sensor services by connecting sensor nodes to the Internet infrastructure. To achieve this, current solutions rely on fixed access points or ...
Frank Siegemund, Muhammad Haroon, Junaid Ansari, P...
IJCNN
2008
IEEE
15 years 9 months ago
Learning associations of conjuncted fuzzy sets for data prediction
— Fuzzy Associative Conjuncted Maps (FASCOM) is a fuzzy neural network that represents information by conjuncting fuzzy sets and associates them through a combination of unsuperv...
Hanlin Goh, Joo-Hwee Lim, Chai Quek