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159
Voted
ALT
2008
Springer
15 years 11 months ago
Computational Models of Neural Representations in the Human Brain
Abstract For many centuries scientists have wondered how the human brain represents thoughts in terms of the underlying biology of neural activity. Philosophers, linguists, cogniti...
Tom M. Mitchell
96
Voted
MLG
2007
Springer
15 years 8 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich
138
Voted
INFOCOM
2012
IEEE
13 years 5 months ago
Experimental performance comparison of Byzantine Fault-Tolerant protocols for data centers
Abstract—In this paper, we implement and evaluate three different Byzantine Fault-Tolerant (BFT) state machine replication protocols for data centers: (1) BASIC: The classic solu...
Guanfeng Liang, Benjamin Sommer, Nitin H. Vaidya
103
Voted
DAC
1999
ACM
16 years 3 months ago
Constraint Driven Code Selection for Fixed-Point DSPs
Abstract? Fixed-point DSPs are a class of embedded processors with highly irregular architectures. This irregularity makes it difficult to generate high-quality machine code from p...
Steven Bashford, Rainer Leupers
118
Voted
ICML
2007
IEEE
16 years 3 months ago
Incremental Bayesian networks for structure prediction
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Ivan Titov, James Henderson