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IJAIT
2008
146views more  IJAIT 2008»
14 years 10 months ago
Learning to Behave in Space: a Qualitative Spatial Representation for Robot Navigation with Reinforcement Learning
ion mechanism to create a representation of space consisting of the circular order of detected landmarks and the relative position of walls towards the agent's moving directio...
Lutz Frommberger
DIS
2009
Springer
15 years 4 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
SIAMCOMP
2011
14 years 5 months ago
Black-Box Constructions of Protocols for Secure Computation
In this paper, we study the question of whether or not it is possible to construct protocols for general secure computation in the setting of malicious adversaries and no honest m...
Iftach Haitner, Yuval Ishai, Eyal Kushilevitz, Yeh...
IWINAC
2007
Springer
15 years 4 months ago
Requirements for Machine Lifelong Learning
A significant advance in inductive modelling are systems that retain learned knowledge and selectively transfer portions of that knowledge as a source of inductive bias. We defi...
Daniel L. Silver, Ryan Poirier
IJKL
2007
67views more  IJKL 2007»
14 years 10 months ago
Knowledge flow management supporting complex problem solving: learning spectrum and its infrastructure
: Knowledge Management (KM) concerns innovating, spreading, sharing and using of knowledge assets. Dynamic knowledge flow management consists of cognition-compliant knowledge trans...
Wan-Chun Dou, Xiping Liu, Guihai Chen, S. C. Cheun...