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» High Performance Reasoning with Very Large Knowledge Bases
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TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 2 days ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
ICS
1995
Tsinghua U.
15 years 1 months ago
A Data Cache with Multiple Caching Strategies Tuned to Different Types of Locality
Current data cache organizations fail to deliver high performance in scalar processors for many vector applications. There are two main reasons for this loss of performance: the u...
Antonio González, Carlos Aliagas, Mateo Val...
AAAI
2012
13 years 1 days ago
A Tractable First-Order Probabilistic Logic
Tractable subsets of first-order logic are a central topic in AI research. Several of these formalisms have been used as the basis for first-order probabilistic languages. Howev...
Pedro Domingos, William Austin Webb
JMLR
2008
124views more  JMLR 2008»
14 years 9 months ago
Learning Control Knowledge for Forward Search Planning
A number of today's state-of-the-art planners are based on forward state-space search. The impressive performance can be attributed to progress in computing domain independen...
Sung Wook Yoon, Alan Fern, Robert Givan
100
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EDBT
2009
ACM
184views Database» more  EDBT 2009»
15 years 4 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer