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» Learning Distance Functions using Equivalence Relations
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EDBT
2011
ACM
225views Database» more  EDBT 2011»
13 years 1 months ago
On (not) indexing quadratic form distance by metric access methods
The quadratic form distance (QFD) has been utilized as an effective similarity function in multimedia retrieval, in particular, when a histogram representation of objects is used...
Tomás Skopal, Tomás Bartos, Jakub Lo...
FLAIRS
2006
13 years 11 months ago
Explicating Semantic Relations in Non-Monotonic Theories to Facilitate Validation Analysis
The inherent vagueness and ambiguity of non-monotonic reasoning makes it impossible to formulate detailed specifications to validate KBS performance by using traditional test-case...
Neli Zlatareva
ATAL
2008
Springer
13 years 11 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...
IROS
2008
IEEE
119views Robotics» more  IROS 2008»
14 years 4 months ago
A relative information metric for vehicle following systems
— Vehicle following can be achieved by minimizing the relative information (Kullback-Leibler or K-L distance), between the estimated poses of leader and follower vehicles by form...
Teck Chew Ng, Martin David Adams, Javier Ibanez Gu...
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
13 years 11 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang