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» Exploration in Metric State Spaces
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NN
2007
Springer
105views Neural Networks» more  NN 2007»
13 years 8 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling
WH
2010
171views Healthcare» more  WH 2010»
13 years 3 months ago
Evaluation of body sensor network platforms: a design space and benchmarking analysis
Body Sensor Networks (BSNs) consist of sensor nodes deployed on the human body for health monitoring. Each sensor node is implemented by interfacing a physiological sensor with a ...
Sidharth Nabar, Ayan Banerjee, Sandeep K. S. Gupta...
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
13 years 11 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
SPIN
2005
Springer
14 years 2 months ago
An Incremental Heap Canonicalization Algorithm
Abstract. The most expensive operation in explicit state model checking is the hash computation required to store the explored states in a hash table. One way to reduce this comput...
Madanlal Musuvathi, David L. Dill
IROS
2006
IEEE
116views Robotics» more  IROS 2006»
14 years 3 months ago
On the Importance of Asymmetries in Grasp Quality Metrics for Tendon Driven Hands
Abstract— Grasp quality measures are important for understanding how to plan for and maintain appropriate and secure grasps for pick and place operations and tool use. Most grasp...
Jiaxin L. Fu, Nancy S. Pollard