Results 241 to 250 of about 598,738 (293)

Attribution classification method of APT malware based on multi-feature fusion. [PDF]

PLoS One
Zhang J, Liu S, Liu Z.
europepmc   +1 more source

Data Interoperability in Context: The Importance of Open-Source Implementations When Choosing Open Standards.

J Med Internet Res
Kapitan D, Heddema F, Dekker A, Sieswerda M, Verhoeff BJ, Berg M.   +5 more
europepmc   +1 more source

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ExeBench: an ML-scale dataset of executable C functions

MAPS@PLDI, 2022
Machine-learning promises to transform compilation and software engineering, yet is frequently limited by the scope of available datasets. In particular, there is a lack of runnable, real-world datasets required for a range of tasks ranging from neural ...
Jordi Armengol-Estap'e, Jackson Woodruff, Alexander Brauckmann, José Wesley de S. Magalhães, M. O’Boyle   +4 more
semanticscholar   +1 more source

“Self-Execution” and State Execution

Psychological Reports, 2006
In the United States from 1977 to 1999, the suicide rate of death row inmates was not associated with their probability of execution ( r = −.25).
David Lester, Christine Tartaro
openaire   +3 more sources

Execution and executability

SPIE Proceedings, 2015
"We have a new strategy to grow our organization." Developing the plan is just the start. Implementing it in the organization is the real challenge. Many organizations don't fail due to lack of strategy; they struggle because it isn't effectively implemented.
Denise Harrison, Robert W. Bradford
openaire   +2 more sources

Executable Code Actions Elicit Better LLM Agents

International Conference on Machine Learning
Large Language Model (LLM) agents, capable of performing a broad range of actions, such as invoking tools and controlling robots, show great potential in tackling real-world challenges.
Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji   +6 more
semanticscholar   +1 more source

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models

North American Chapter of the Association for Computational Linguistics, 2019
Building causal models of complicated phenomena such as food insecurity is currently a slow and labor-intensive manual process. In this paper, we introduce an approach that builds executable probabilistic models from raw, free text. The proposed approach
Rebecca Sharp, A. Pyarelal, Benjamin M. Gyori, K. Alcock, Egoitz Laparra, M. A. Valenzuela-Escarcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather Lent, Fan Luo, Mitch Paul Mithun, Steven Bethard, Kobus Barnard, Clayton T. Morrison, M. Surdeanu   +16 more
semanticscholar   +1 more source

Executable Examples for Programming Problem Comprehension

International Computing Education Research Workshop, 2019
Flawed problem comprehension leads students to produce flawed implementations. However, testing alone is inadequate for checking comprehension: if a student develops both their tests and implementation with the same misunderstanding, running their tests ...
J. Wrenn, S. Krishnamurthi
semanticscholar   +1 more source

Execution Costs and Efficient Execution Frontiers [PDF]

SSRN Electronic Journal, 2010
Single period risks acceptable to the market at zero cost are modeled by a convex set of random variables leading to bid and ask prices that are trade size dependent. The theory of nonlinear expectations is employed to construct dynamically consistent sequences of bid and ask unit size prices that are size and trade date contingent.
openaire   +3 more sources