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FOIKS
2008
Springer
14 years 5 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
ALT
2001
Springer
14 years 5 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
INFOCOM
2009
IEEE
14 years 2 months ago
Opportunistic Processing and Query of Motion Trajectories in Wireless Sensor Networks
—We study the problem of in-network processing and queries of trajectories of moving targets in a sensor network. The main idea is to exploit the spatial coherence of target traj...
Dengpan Zhou, Jie Gao
DCOSS
2007
Springer
14 years 2 months ago
Localization for Anchoritic Sensor Networks
We introduce a class of anchoritic sensor networks, where communications between sensor nodes are undesirable or infeasible due to, e.g., harsh environments, energy constraints, or...
Yuliy M. Baryshnikov, Jian Tan
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
14 years 2 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert