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AI
1999
Springer
15 years 6 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram
SIGMOD
2002
ACM
129views Database» more  SIGMOD 2002»
16 years 6 months ago
Dwarf: shrinking the PetaCube
Dwarf is a highly compressed structure for computing, storing, and querying data cubes. Dwarf identifies prefix and suffix structural redundancies and factors them out by coalesci...
Yannis Sismanis, Antonios Deligiannakis, Nick Rous...
DAC
2002
ACM
16 years 7 months ago
A factorization-based framework for passivity-preserving model reduction of RLC systems
We present a framework for passivity-preserving model reduction for RLC systems that includes, as a special case, the well-known PRIMA model reduction algorithm. This framework pr...
Q. Su, Venkataramanan Balakrishnan, Cheng-Kok Koh
LICS
1994
IEEE
15 years 10 months ago
A Fully Abstract Semantics for Concurrent Graph Reduction
abstract semantics for concurrent graph reduction ALAN JEFFREY This paper presents a fully abstract semantics for a variant of the untyped -calculus with recursive declarations. We...
Alan Jeffrey
ICMLA
2008
15 years 7 months ago
Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
Dimension reduction techniques have been successfully applied to face recognition and text information retrieval. The process can be time-consuming when the data set is large. Thi...
Sophia Sakellaridi, Haw-ren Fang, Yousef Saad