In this paper, we propose a deep reinforcement learning (DRL)-based algorithm to generate policies of Baseband Function (BBF) placement and routing. order explore the performance proposed in practical systems, online scenario with completely random requests is used simulation considering C-RAN NG-RAN architectures. Besides, an Integer Linear Programming (ILP) model formulated optimal solution a...

This paper presents a multi-start iterated local search (MS-ILS), an exact approach based on improved integer linear programming (ILP) model, and matheuristic combining the ILP with MS-ILS through solution merging for minimum capacitated dominating set (CAPMDS) problem undirected graphs. is extension of well-known problem, where there cap number nodes that each node can dominate, goal to find c...

Significant research has been conducted in recent years to extend Inductive Logic Programming (ILP) methods to induce Answer Set Programs (ASP). These methods perform an exhaustive search for the correct hypothesis by encoding an ILP problem instance as an ASP program. Exhaustive search, however, results in loss of scalability. In addition, the language bias employed in these methods is overly ...

Intensional Logic Programming (ILP) is a new form of logic programming based on intensional logic. The denotations of formulas of an intensional first-order language are given according to intensional interpretations and to a set of possible worlds. ILP provides users with several intensional operators which are used to express relationships between different worlds. After introducing the forma...

Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limited. In our view this is mainly due to the variation in ILP engines, especially with respect to input specification, as well as the limited attention for relational database issues. In this paper we describe an approac...

El Inventory of Learning Processes (ILP) evalúa procesos de aprendizaje en el ámbito educativo. Se propone adaptar lingüística, conceptual y métricamente ILP al educativo local. emplearon muestras estudiantes nivel medio universitario. tradujo la consigna los ítems del inglés español se analizó su contenido mediante juicio experto, conservando 20 62 originales. Posteriormente un análisis factor...

We present an ILP model of concept-totext generation. Unlike pipeline architectures, our model jointly considers the choices in content selection, lexicalization, and aggregation to avoid greedy decisions and produce more compact texts.

Test Pattern Generation for combinational circuits entails the identification of primary input assignments for detecting each fault in a set of target faults. An extension to this procedure consists of reducing the number of required test patterns by using heuristic test compaction techniques. In this paper we show that finding the optimally compacted test set can be cast as an integer linear p...

We consider the problem of optimally designing a body wireless sensor network, while taking into account the uncertainty of data generation of biosensors. Since the related min-max robustness Integer Linear Programming (ILP) problem can be difficult to solve even for state-of-the-art commercial optimization solvers, we propose an original heuristic for its solution. The heuristic combines deter...

OBJECTIVE To compare the efficacy of interstitial laser photocoagulation (ILP) with radioiodine in hot thyroid nodules. DESIGN Thirty consecutive outpatients with subclinical or mild hyperthyroidism and a scintigraphically solitary hot nodule with extraglandular suppression were randomized to either one ILP session or one radioiodine ((131)I) dose. METHODS ILP was performed under continuous...