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See detailContexts and inferences: Hypotheses about pragmatics and grammaticalization
Grossman, Eitan; Polis, Stéphane ULg

Scientific conference (2014, May 14)

The goal of the talk is to put on the table for discussion ideas about the interaction between types of context and meaning change characteristic of grammaticalization. Specifically, to ask what – if any ... [more ▼]

The goal of the talk is to put on the table for discussion ideas about the interaction between types of context and meaning change characteristic of grammaticalization. Specifically, to ask what – if any – pragmatic mechanisms facilitate the relaxation of selectional restrictions on grammaticalizing items/constructions, leading from ‘bridging contexts’ to ‘switch contexts’ (Heine 2002), i.e, from utterances with multiple available readings to utterances in which the older reading is unavailable. [less ▲]

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See detailContexts for Mathematics and Science Education, Belgium
Monseur, Christian ULg; Brusselmans, Christiane

in IEA (Ed.) Contexts for Mathematics and Science Education (1997)

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See detailContextual Multi-armed Bandits for the Prevention of Spam in VoIP Networks
Jung, Tobias ULg; Martin, Sylvain ULg; Ernst, Damien ULg et al

E-print/Working paper (2012)

In this paper we argue that contextual multi-armed bandit algorithms could open avenues for designing self-learning security modules for computer networks and related tasks. The paper has two ... [more ▼]

In this paper we argue that contextual multi-armed bandit algorithms could open avenues for designing self-learning security modules for computer networks and related tasks. The paper has two contributions: a conceptual one and an algorithmical one. The conceptual contribution is to formulate -- as an example -- the real-world problem of preventing SPIT (Spam in VoIP networks), which is currently not satisfyingly addressed by standard techniques, as a sequential learning problem, namely as a contextual multi-armed bandit. Our second contribution is to present CMABFAS, a new algorithm for general contextual multi-armed bandit learning that specifically targets domains with finite actions. We illustrate how CMABFAS could be used to design a fully self-learning SPIT filter that does not rely on feedback from the end-user (i.e., does not require labeled data) and report first simulation results. [less ▲]

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See detailContextual Multi-armed Bandits for Web Server Defense
Jung, Tobias ULg; Martin, Sylvain ULg; Ernst, Damien ULg et al

in Hussein, Abbas (Ed.) Proceedings of 2012 International Joint Conference on Neural Networks (IJCNN) (2012)

In this paper we argue that contextual multi-armed bandit algorithms could open avenues for designing self-learning security modules for computer networks and related tasks. The paper has two ... [more ▼]

In this paper we argue that contextual multi-armed bandit algorithms could open avenues for designing self-learning security modules for computer networks and related tasks. The paper has two contributions: a conceptual and an algorithmical one. The conceptual contribution is to formulate the real-world problem of preventing HTTP-based attacks on web servers as a one-shot sequential learning problem, namely as a contextual multi-armed bandit. Our second contribution is to present CMABFAS, a new algorithm for general contextual multi-armed bandit learning that specifically targets domains with finite actions. We illustrate how CMABFAS could be used to design a fully self-learning meta filter for web servers that does not rely on feedback from the end-user (i.e., does not require labeled data) and report first convincing simulation results. [less ▲]

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See detailContextualising bin in the Medinet Habu Historical Inscriptions
Gillen, Todd Jonathan ULg; Guerry, Eve

in Göttinger Miszellen (2010), 224(2010), 59-63

A reconsideration of the meaning of bin as it appears in the phraseology of the Medinet Habu historical inscriptions of Ramses III.

Detailed reference viewed: 42 (3 ULg)
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See detailContexual sensitization to the behavioral effects of cocaine in neonatal rats
Tirelli, Ezio ULg

in Developmental Psychobiology (1999), 25

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See detailContiguïtés
Havelange, Carl ULg

Conference (2011, March 10)

Detailed reference viewed: 1 (0 ULg)
See detailLe continent des couleurs
Dumortier, Tanguy; Vermeulen, Cédric ULg; Linchant, Julie ULg

Diverse speeche and writing (2014)

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See detailContinental-scale variability in browser diversity is a major driver of diversity patterns in acacias across Africa
Greve, M; Lykke, A M; Fagg, C W et al

in Journal of Ecology (2012), 100

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See detailContingency filtering techniques for preventive security-constrained optimal power flow
Capitanescu, Florin ULg; Glavic, M.; Ernst, Damien ULg et al

in IEEE Transactions on Power Systems (2007), 22(4), 1690-1697

This paper focuses on contingency filtering to accelerate the iterative solution of preventive security-constrained optimal power flow (PSCOPF) problems. To this end, we propose two novel filtering ... [more ▼]

This paper focuses on contingency filtering to accelerate the iterative solution of preventive security-constrained optimal power flow (PSCOPF) problems. To this end, we propose two novel filtering techniques relying on the comparison at an intermediate PSCOPF solution of post-contingency constraint violations among postulated contingencies. We assess these techniques by comparing them with severity index-based filtering schemes, on a 60- and a 118-bus system. Our results show that the proposed contingency filtering techniques lead to faster solution of the PSCOPF, while being more robust and meaningful, than severity-index based ones. [less ▲]

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See detailA contingency filtering, ranking and assessment technique for on-line transient stability studies
Ruiz-Vega, Daniel; Ernst, Damien ULg; Machado Ferreira, C. et al

in Proceedings of International Conference on Electric Utility Deregulation and Restructing and Power Technologies 2000 (2000)

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See detailContingency ranking with respect to overloads in very large power systems taking into account uncertainty, preventive, and corrective actions
Fliscounakis, Stéphane; Panciatici, Patrick; Capitanescu, Florin et al

in IEEE Transactions on Power Systems (2013)

This paper deals with day-ahead security management with respect to a postulated set of contingencies, while taking into account uncertainties about the next day generation/load scenario. In order to help ... [more ▼]

This paper deals with day-ahead security management with respect to a postulated set of contingencies, while taking into account uncertainties about the next day generation/load scenario. In order to help the system operator in decision making under uncertainty, we aim at ranking these contingencies into four clusters according to the type of control actions needed to cover the worst uncertainty pattern of each contingency with respect to branch overload. To this end we use a fixed point algorithm that loops over two main modules: a discrete bi-level program (BLV) that computes the worst-case scenario, and a special kind of security constrained optimal power flow (SCOPF) which computes optimal preventive/corrective actions to cover the worst-case. We rely on a DC grid model, as the large number of binary variables, the large size of the problem, and the stringent computational requirements preclude the use of existing mixed integer nonlinear programming (MINLP) solvers. Consequently we solve the SCOPF using a mixed integer linear programming (MILP) solver while the BLV is decomposed into a series of MILPs. We provide numerical results with our approach on a very large European system model with 9241 buses and 5126 contingencies. [less ▲]

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See detailContingency severity assessment for voltage security using non-parametric regression techniques
Wehenkel, Louis ULg

in IEEE Transactions on Power Systems (1996), 11(1), 101-111

This paper proposes a novel approach to power system voltage security assessment exploiting nonparametric regression techniques to extract simple, and at the same time reliable, models of the severity of ... [more ▼]

This paper proposes a novel approach to power system voltage security assessment exploiting nonparametric regression techniques to extract simple, and at the same time reliable, models of the severity of a contingency, defined as the difference between pre- and post-contingency load power margins. The regression techniques extract information from large sets of possible operating conditions of a power system screened offline via massive random sampling, whose voltage security with respect to contingencies is pre-analyzed using an efficient voltage stability simulation. In particular, regression trees are used to identify the most salient parameters of the pre-contingency topology and electrical state which influence the severity of a given contingency, and to provide a first guess transparent approximation of the contingency severity in terms of these latter parameters. Multilayer perceptrons are exploited to further refine this information. The approach is demonstrated on a realistic model of a large scale voltage stability limited power system, where it shows to provide valuable physical insight and reliable contingency evaluation. Various potential uses in power system planning and operation are discussed [less ▲]

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See detailContingent negative variation (CNV) as a diagnostic and physiopathologic tool in headache patients
SCHOENEN, Jean ULg; Maertens De Noordhout, Alain ULg; Timsit-Berthier, M. et al

in Clifford Rose, F. (Ed.) Migraine Proc. (1985)

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See detailContingent negative variation abnormalities in posttraumatic stress disorder
Papart, Patrick ULg; Ansseau, Marc ULg; Bartholomé, F.

in European Neuropsychopharmacology (2008), 18(Suppl 4), 481-482

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See detailContingent negative variation and efficacy of beta-blocking agents in migraine
Schoenen, Jean ULg; MAERTENS DE NOORDHOUT, Alain ULg; Timsit-Berthier, Martine et al

in Cephalalgia : An International Journal of Headache (1986), 6(4), 229-33

Thirty-three patients with common migraine underwent contingent negative variation (CNV) recordings before receiving prophylactic beta-blocker treatment with either metoprolol (27 patients) or propranolol ... [more ▼]

Thirty-three patients with common migraine underwent contingent negative variation (CNV) recordings before receiving prophylactic beta-blocker treatment with either metoprolol (27 patients) or propranolol (6 patients) at mean daily dosages of 110 mg and 122 mg, respectively. After 3 months the therapeutic efficacy of the beta-blocker was assessed in each patient by means of a global severity score and compared with the initial CNV recordings. The mean clinical improvement was 62%. A significant positive correlation was found between CNV amplitude before prophylaxis and the clinical response to beta-blockers: patients with higher CNV tended to respond better to therapy. Eight of 10 patients with a CNV amplitude higher than -25 microV had a more than 50% reduction of the severity score--that is, a good or excellent response to the beta-blocking agent--whereas only 2 of 9 patients with an amplitude lower than -20 microV had a good response. [less ▲]

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See detailContingent negative variation and severity of depression
Papart, Patrick ULg; Ansseau, Marc ULg; Devoitille, J.M. et al

in Psychiatry: A world perspective - Volume 2 (1990)

Detailed reference viewed: 8 (0 ULg)