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IJAIT
2008
146views more  IJAIT 2008»
15 years 4 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
JCB
2008
122views more  JCB 2008»
15 years 4 months ago
Space Efficient Computation of Rare Maximal Exact Matches between Multiple Sequences
In this article, we propose a new method for computing rare maximal exact matches between multiple sequences. A rare match between k sequences S1; : : :; Sk is a string that occur...
Enno Ohlebusch, Stefan Kurtz
AI
2005
Springer
15 years 4 months ago
Fast Protein Superfamily Classification Using Principal Component Null Space Analysis
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
Leon French, Alioune Ngom, Luis Rueda
TODS
2002
92views more  TODS 2002»
15 years 3 months ago
Searching in metric spaces with user-defined and approximate distances
Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...
Paolo Ciaccia, Marco Patella
EMNLP
2011
14 years 3 months ago
Approximate Scalable Bounded Space Sketch for Large Data NLP
We exploit sketch techniques, especially the Count-Min sketch, a memory, and time efficient framework which approximates the frequency of a word pair in the corpus without explic...
Amit Goyal, Hal Daumé III