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IJCAI
2003
13 years 9 months ago
Inductive Learning in Less Than One Sequential Data Scan
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo
CONTEXT
2007
Springer
14 years 1 months ago
Risk Context Effects in Inductive Reasoning: An Experimental and Computational Modeling Study
Mechanisms that underlie the inductive reasoning process in risk contexts are investigated. Experimental results indicate that people rate the same inductive reasoning argument dif...
Kayo Sakamoto, Masanori Nakagawa
ICCAD
2002
IEEE
108views Hardware» more  ICCAD 2002»
14 years 4 months ago
A precorrected-FFT method for simulating on-chip inductance
The simulation of on-chip inductance using PEEC-based circuit analysis methods often requires the solution of a subproblem where an extracted inductance matrix must be multiplied ...
Haitian Hu, David Blaauw, Vladimir Zolotov, Kaushi...
AAIP
2009
13 years 8 months ago
Incremental Learning in Inductive Programming
Inductive programming systems characteristically exhibit an exponential explosion in search time as one increases the size of the programs to be generated. As a way of overcoming ...
Robert Henderson
FAC
2008
108views more  FAC 2008»
13 years 7 months ago
Property-directed incremental invariant generation
Abstract. A fundamental method of analyzing a system such as a program or a circuit is invariance analysis, in which one proves that an assertion holds on all reachable states. Typ...
Aaron R. Bradley, Zohar Manna