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» Program Speedups in Theory and Practice
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90
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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 7 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
92
Voted
ACMSE
2010
ACM
14 years 10 months ago
Automatic generation of model traversals from metamodel definitions
Developing software from models is a growing practice and there exist many model-based tools (e.g., model editors, model interpreters) for supporting model-driven engineering. Eve...
Tomaz Lukman, Marjan Mernik, Zekai Demirezen, Barr...
114
Voted
CCE
2004
15 years 11 days ago
Stochastic maximum principle for optimal control under uncertainty
Optimal control problems involve the difficult task of determining time-varying profiles through dynamic optimization. Such problems become even more complex in practical situatio...
Vicente Rico-Ramírez, Urmila M. Diwekar
83
Voted
VIROLOGY
2008
121views more  VIROLOGY 2008»
15 years 12 days ago
Constructing malware normalizers using term rewriting
A malware mutation engine is able to transform a malicious program to create a different version of the program. Such mutation engines are used at distribution sites or in self-pro...
Andrew Walenstein, Rachit Mathur, Mohamed R. Chouc...
91
Voted
WWW
2008
ACM
16 years 1 months ago
Better abstractions for secure server-side scripting
bstractions for Secure Server-Side Scripting Dachuan Yu Ajay Chander Hiroshi Inamura Igor Serikov DoCoMo Communications Laboratories USA 3240 Hillview Avenue Palo Alto, CA 94304 {y...
Dachuan Yu, Ajay Chander, Hiroshi Inamura, Igor Se...