نتایج جستجو برای: ilp rating

تعداد نتایج: 48113  

Journal: :Journal of surgical oncology 2014
Jens Jakob Per-Ulf Tunn Andrew J Hayes Lothar R Pilz Kai Nowak Peter Hohenberger

BACKGROUND Isolated limb perfusion (ILP) is an effective limb salvage strategy in patients with advanced soft tissue sarcoma (STS) where surgery alone would result in significant functional morbidity or mandate an amputation. Most previous reports of patients undergoing ILP focus on limb salvage rates rather than local and distant relapse rates. Here, we report the oncological outcome of sarcom...

2007
Michael Fry Atanu Ghosh

Application Level Framing (ALF) and Integrated Layer Processing (ILP) have been proposed as strategies for solving the end system bottleneck problem for modern, distributed applications. Distributed multimedia applications that employ software intensive coding and compression techniques appear to be likely performance beneeciaries of an ALF/ILP implementation approach. However, there is a widel...

2006
Aline Paes Filip Zelezný Gerson Zaverucha David Page Ashwin Srinivasan

ILP has been successfully applied to a variety of tasks. Nevertheless, ILP systems have huge time and storage requirements, owing to a large search space of possible clauses. Therefore, clever search strategies are needed. One promising family of search strategies is that of stochastic local search methods. These methods have been successfully applied to propositional tasks, such as satisfiabil...

2006
Ning Jiang Simon Colton

Inductive Logic Programming has been very successful in application to multirelational predictive tasks. Sophisticated predictive ILP systems, such as Progol and foil, can achieve high predictive accuracy, while the learning results remain understandable. Although boosting [1] is an established method to promote predictive accuracy of weak algorithms, there have been relatively few efforts to a...

2006
Huibin Shi

Today, many general-purpose register-file (GPRF) architectures implement instructionlevel-parallelism (ILP) techniques to improve performance. Less has been done in this area for the so-called ‘stack architecture’. Nonetheless, stack architectures have many advantages over GPRF architectures. Applying ILP techniques in the stack processor domain might ultimately achieve similar, or better, perf...

Journal: :Metals 2022

Laser polishing (LP) is an effective method to improve the surface quality of additively manufactured nickel-based alloy. In this paper, in-situ laser (ILP) experiment performed on selective melting (SLM) IN718 samples. The white light interferometer used test three-dimensional profile and roughness results show that as-SLMed samples by ILP improved. particular, decreased 33.5%. To reveal mecha...

Journal: :Artificial Intelligence 2021

Integer Linear Programming (ILP) has a broad range of applications in various areas artificial intelligence. Yet spite recent advances, we still lack thorough understanding which structural restrictions make ILP tractable. Here study instances consisting small number “global” variables and/or constraints such that the remaining part instance consists and otherwise independent components; this i...

Journal: :Cancer research 1991
L M de Brauw A Marinelli C J van de Velde J Hermans U R Tjaden C Erkelens E A de Bruijn

The intention of this study was to estimate the pharmacological advantage of a clinically applicable method of isolated liver perfusion (ILP) over hepatic artery infusion (HAI) administering various doses of 5-fluorouracil (FUra). FUra concentrations were measured using high-performance liquid chromatography in liver tissue (pigs and rats), hepatic tumor tissue (rats), and in the systemic circu...

Journal: :Artif. Intell. 1999
Stephen Muggleton

Inductive Logic Programming (ILP) is the area of AI which deals with the induction of hypothesised predicate deenitions from examples and background knowledge. Logic programs are used as a single representation for examples, background knowledge and hypotheses. ILP is diierentiated from most other forms of Machine Learning (ML) both by its use of an expressive representation language and its ab...

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