We present stable ILP, a cross-disciplinary concept straddling machine learning and nonmonotonic reasoning. Stable models give meaning to logic programs containing negative assertions. In stable ILP, we employ stable models to represent the current state speciied by (possibly) negative EDB and IDB rules. The state then serves as the background knowledge for a top-down ILP learner. We present a ...

We present stable ILP, a cross-disciplinary concept straddling machine learning and nonmonotonic reasoning. Stable models give meaning to logic programs containing negative assertions. In stable ILP, we employ stable models to represent the current state speciied by (possibly) negative EDB and IDB rules. The state then serves as the background knowledge for a top-down ILP learner. We present a ...

The weighted constraint satisfaction problem (WCSP) occurs in the crux of many real-world applications of operations research, artificial intelligence, bioinformatics, etc. Despite its importance as a combinatorial substrate, many attempts for building an efficient WCSP solver have been largely unsatisfactory. In this paper, we introduce a new method for encoding a (Boolean) WCSP instance as an...

In chemoinformatics, searching for compounds which are structurally diverse and share a biological activity is called scaffold hopping. Scaffold hopping is important since it can be used to obtain alternative structures when the compound under development has unexpected side-effects. Pharmaceutical companies use scaffold hopping when they wish to circumvent prior patents for targets of interest...

The performance of microprocessors has increased steadily over the past 20 years at a rate of about 50% per year. This is the cumulative result of architectural improvements as well as increases in circuit speed. Moreover, this improvement has been obtained in a transparent fashion, that is, without requiring programmers to rethink their algorithms and programs, thereby enabling the tremendous ...

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...

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...

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...

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...

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...