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CORR
2012
Springer
183views Education» more  CORR 2012»
12 years 5 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
DNA
2004
Springer
14 years 3 months ago
DNA-Based Computation Times
Abstract. Speed of computation and power consumption are the two main parameters of conventional computing devices implemented in microelectronic circuits. As performance of such d...
Yuliy M. Baryshnikov, Edward G. Coffman Jr., Petar...
CF
2007
ACM
14 years 1 months ago
Converting massive TLP to DLP: a special-purpose processor for molecular orbital computations
We propose an application specific processor for computational quantum chemistry. The kernel of interest is the computation of electron repulsion integrals (ERIs), which vary in c...
Tirath Ramdas, Gregory K. Egan, David Abramson, Ki...
COCO
2007
Springer
75views Algorithms» more  COCO 2007»
14 years 3 months ago
On the Theory of Matchgate Computations
Valiant has proposed a new theory of algorithmic computation based on perfect matchings and Pfaffians. We study the properties of matchgates—the basic building blocks in this n...
Jin-yi Cai, Vinay Choudhary, Pinyan Lu
IJMMS
2000
70views more  IJMMS 2000»
13 years 9 months ago
Computer generation of process explanations in nuclear astrophysics
In this paper we describe Astra, a computational aid for generating process explanations in nuclear astrophysics. The system operates in two stages, the rst using knowledge of qua...
Sakir Kocabas, Pat Langley