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MLG
2007
Springer
14 years 2 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
INFOCOM
2012
IEEE
11 years 10 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
DAC
1999
ACM
14 years 9 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
ICML
2007
IEEE
14 years 9 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
ICML
2007
IEEE
14 years 9 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi