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检索条件"任意字段=10th International Conference on Inductive Logic Programming, ILP 2000"

共 59 条记录，以下是41-50 订阅

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Link Selection Algorithms for Link-Based ilps and Applications to RWA in Mesh Networks

Link Selection Algorithms for Link-Based ILPs and Applicatio...

引用

17th international conference on Optical Networking Design and Modeling (ONDM)

作者： Liu, Zeyu Rouskas, George N. N Carolina State Univ Dept Comp Sci Raleigh NC 27695 USA

ISBN: (纸本)9781479904914

RWA is a fundamental problem in the design and control of optical networks. We propose link selection algorithms that reduce the size of the link-based ilp formulation for RWA by pruning redundant link decision variables. the resulting formulation scales well to mesh topologies representative of backbone and regional networks. In our experiments, the new formulation decreases the running time by more than two orders of magnitude without any impact on optimality. the link selection techniques are general in that they may be applied to any optimization problem for which the ilp formulation consists of multicommodity flow equations as its core constraints.

关键词： Mesh networks Networks of zones inductive logic programming Fiber optic networks Runtime Spine

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Visually Guiding and Controlling the Search While Mining Chemical Structures

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10th international Work-conference on Artificial Neural Networks (IWANN 2009)

作者： Pereira, Max Costa, Vitor Santos Camacho, Rui Fonseca, Nuno A. Univ Porto LIAAD INESC Porto LA & FEUP Rua Dr Roberto Frias S-N P-4200465 Oporto Portugal Univ Porto CRACS INSEC Porto LA Porto Portugal Univ Porto Inst Biol Mol Celuar Porto Portugal

ISBN: (纸本)9783642024801

In this paper we present the work in progress on LogCHEM, an ilp based tool for discriminative interactive mining of chemical fragments. In particular, we describe the integration with a molecule visualisation software that allows the chemist to graphically control the search for interesting patterns in chemical fragments. Furthermore, we show how structured information, such as rings, functional groups like carboxyl, amine, methyl, ester, etc are integrated and exploited in LogCHEM.

关键词： inductive logic programming drug design

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GPU-accelerated hypothesis cover set testing for learning in logic 28

GPU-accelerated hypothesis cover set testing for learning in...

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Up-and-Coming and Short Papers of the 28th international conference on inductive logic programming, UCS-ilp 2018

作者： Algahtani, Eyad Kazakov, Dimitar University of York Heslington YorkYO10 5GH United Kingdom

ilp learners are commonly implemented to consider sequentially each training example for each of the hypotheses tested. Computing the cover set of a hypothesis in this way is costly, and introduces a major bottleneck in the learning process. this computation can be implemented more efficiently through the use of data level parallelism. Here we propose a GPU-accelerated approach to this task for propositional logic and for a subset of first order logic. this approach can be used with one’s strategy of choice for the exploration of the hypothesis space. At present, the hypothesis language is limited to logic formulae using unary and binary predicates, such as those covered by certain types of description logic. the approach is tested on a commodity GPU and datasets of up to 200 million training examples, achieving run times of below 30ms per cover set computation. © 2018 CEUR-WS. All rights reserved.

关键词： Graphics processing unit

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inductive logic programming 2005

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丛书名： Lecture Notes in Computer Science

2005年

作者： Stefan Kramer Bernhard Pfahringer

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Adapting behavior by inductive prediction in soccer agents 6th

Adapting behavior by inductive prediction in soccer agents

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6th Pacific Rim international conference on Artificial Intelligence, PRICAI 2000

作者： Matsui, Tohgoroh Inuzuka, Nobuhiro Seki, Hirohisa Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya466-8555 Japan

ISBN: (纸本)3540679251

this paper proposes new architecture of agent which adapts its behavior by predicting the results of actions and avoiding taking ones predicted to be failures shown in Fig. 1. Our agent consists of five parts: Observer, Planner, Actor which are same as those of basic agent and write perceiving information in the first-order formalism, Learner which acquires prediction rules using inductive logic programming (ilp), and Checker which predicts the result of an action selected by Planner and changes action if it seems to be failure. the agent classifies past actions into successes and failures, then it learns rules from them to assort the current action without information after taking it.

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10th international conference on logic for programming, Artificial Intelligence, and Reasoning, LPAR 2003

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10th international conference on logic for programming, Artificial Intelligence, and Reasoning, LPAR 2003

ISBN: (纸本)3540201017

the proceedings contain 30 papers. the special focus in this conference is on logic for programming, Artificial Intelligence, and Reasoning. the topics include: From tableaux to automata for description logics;imperative object-based calculi in co-inductive type theories;congruence closure with integer offsets;a translation characterizing the constructive content of classical theories;extensions of non-standard inferences to description logics with transitive roles;extended canonicity of certain topological properties of set spaces;algebraic and model theoretic techniques for fusion decidability in modal logics;on closure under complementation of equational tree automata for theories extending ac;completeness of e-unification with eager variable elimination;handling equality in monodic temporal resolution;computing preferred answer sets in answer set programming;a syntax-based approach to reasoning about actions and events;minimizing automata on infinite words;accelerating proof search for zero-one linear constraint systems;NP-completeness results for deductive problems on stratified terms;automatic structures of bounded degree;an optimal automata approach to ltl model checking of probabilistic systems;a logical study on qualitative default reasoning with probabilities;strict geometry of interaction graph models and connection-based proof construction in non-commutative logic.

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inductive logic programming for Symbol Recognition

Inductive Logic Programming for Symbol Recognition

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international conference on Document Analysis and Recognition

作者： K.C. Santosh Bart Lamiroy Jean-Philippe Ropers INRIA-Nancy-Grand Est/LORIA Villers-les-Nancy France Nancy University Vandoeuvre-les-Nancy France

In this paper, we make an attempt to use inductive logic programming (ilp) to automatically learn non trivial descriptions of symbols, based on a formal description. this work is a first step in this direction and is rather a proof of concept, rather than a fully operational and robust framework. the overall goal of our approach is to express graphic symbols by a number of primitives that may be of any complexity (i.e. not necessarily just lines or points) and connecting relationships that can be deduced from straightforward state-of-the art image treatment and analysis tools. this representation is then used as an input to an ilp solver, in order to deduce non obvious characteristics that may lead to a more semantic related recognition process.

关键词： logic programming Vocabulary Robustness Electronic mail Image analysis Data mining Text analysis Graphics Joining processes Art

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Induction on Failure: Learning Connected Horn theories

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10th international conference on logic programming and Nonmonotonic Reasoning

作者： Kimber, Tim Broda, Krysia Russo, Alessandra Univ London Imperial Coll Sci Technol & Med London SW7 2AZ England

ISBN: (纸本)9783642042379

Several learning systems based on Inverse Entailment (IE) have been proposed, some that compute single clause hypotheses, exemplified by Progol, and others that, produce multiple clauses in response to a single seed example. A common denominator of these systems, is a restricted hypothesis search space, within which each clause must individually explain some example E, or some member of an abductive explanation for E. this paper proposes a new IE approach, called Induction on Failure (IoF), that generalises existing Horn clause learning systems by allowing the computation of hypotheses within a larger search space, namely that of Connected theories. A proof procedure for IoF is proposed that generalises existing IE systems and also resolves Yamamoto's example. A prototype implementation is also described. Finally, a semantics is presented called Connected theory Generalisation, which is proved to extend Kernel Set Subsumption and to include hypotheses constructed within this new IoF approach.

关键词： inductive logic programming Inverse Entailment Abduction

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Classification of connecting points in thai printed characters by combining inductive logic programming with backpropagation neural network

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10th international conference on Computer Analysis of Images and Patterns

作者： Pipanmaekaporn, L Sachdev, A Thammasart Univ Dept Comp Sci Prathumtani Thailand

ISBN: (纸本)3540407308

An important problem that decreases the accuracy in thai Printed Character Recognition system is the errors in segmentation process. In vertical connected character segmentation, we can easily use the reference lines of thai language structure. this paper thus proposes a method for detecting the connecting points in horizontal connected characters. First, we extract the features of the connecting points in the character images. then, we employ inductive logic programming to produce the rules that will be used to classify the unseen examples. Finally, we use Backpropagation Neural Network to make these rules more flexible. the results show that our method achieves 94.94% of accuracy.

关键词： Neural networks

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Function-Level Processor (FLP): Raising Efficiency by Operating at Function Granularity for Market-Oriented MPSoC

Function-Level Processor (FLP): Raising Efficiency by Operat...

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IEEE 25th international conference on Application-Specific Systems, Architectures and Processors (ASAP)

作者： Tabkhi, Hamed Bushey, Robert Schirner, Gunar Northeastern Univ Dept Elect & Comp Engn Boston MA 02115 USA Analog Devices Inc ADI Embedded Syst Prod & Technol Norwood MA USA

ISBN: (纸本)9781479936090

the exponential growth in computation demand drives chip vendors to heterogeneous architectures combining Instruction-Level Processors (ilps) and custom HW Accelerators (HWACCs) in an attempt to provide the needed processing capabilities while meeting power/energy requirements. ilps, on one hand, are highly flexible, but power inefficient. Custom HWACCs, on the other hand, are inflexible (focusing on dedicated kernels), but highly power efficient. Since, designing HWACCs for every application is cost prohibitive, large portions of applications still run inefficiently on ilps. New processing architectures are needed that combine the power efficiency of HWACCs while still retaining sufficient flexibility to realize applications across targeted market segments. this paper introduces Function-Level Processors (FLPs) to fill the gap between ilps and dedicated HWACCs. FLPs are comprised of configurable Function Blocks (FBs) implementing selected functions which are then interconnected via programmable point-to-point connections constructing an extensible/configurable macro data-path. An FLP raises programming abstraction to a Function-Set Architecture (FSA) controlling FBs allocation, configuration and scheduling. We demonstrate FLP benefits with an industry example of the Pipeline-Vision Processor (PVP). We highlight the gained flexibility by mapping 10 embedded vision applications entirely to the FLP-PVP offering up to 22.4 GOPs/s with average power of 120 mW. the results also demonstrate that our FLP-PVP solution consumes 14x-18x less power than an ilp and 5x less power than a hybrid ilp+ HWACCs solution.

关键词： fault-location problem PROCESSOR inductive logic programming dynamic efficiency Exponential Growth average power ARCHITECTURE Power (Psychology) Energy sources macro data Target marketing Connection points

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