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See detailA learning algorithm for synfire chains
Sougné, Jacques ULg

in French, R. (Ed.) Connectionist models of learning : Development and Evolution (2001)

Detailed reference viewed: 11 (2 ULg)
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See detailLearning and Error Reproduction in Alzheimer Disease
Wansard, Murielle ULg; Erkès, jérôme; Adam, Stéphane ULg et al

Poster (2012, July 15)

Alzheimer disease (AD) is characterized by an early impairment of explicit memory processes associated to a preservation of implicit memory processes (Fleischman & Gabrieli 1998). Due to the role of ... [more ▼]

Alzheimer disease (AD) is characterized by an early impairment of explicit memory processes associated to a preservation of implicit memory processes (Fleischman & Gabrieli 1998). Due to the role of explicit memory in the suppression of errors during learning, AD patients tend to reproduce automatically (implicitly) errors that occurred during a previous learning (Baddeley & Wilson, 1994). Consequently, errorless learning should be more efficient than a classical “trial-and-error” procedure for AD patients. Indeed, errorless learning decreases the involvement of (impaired) explicit memory by avoiding the interference caused by the production of errors (Bier et al., 2002). The present study investigates the automatic post-learning error production in mild AD patients and matched control subjects by using a word stem completion task (Adam et al., 2005) in conditions of both errorless and trial-and-error learning. Results showed a lower word stem completion performance in mild AD than control subjects, but a similar performance in the patients’ group for the two learning conditions. Moreover, in the trial-and-error procedure, the errors consisted mainly in erroneous responses already produced during the learning phase. In addition, correlation analyses indicate that the ability to suppress errors in the trial-and-error learning condition in mild AD patients is subtended by the efficiency of episodic memory processes, but not by inhibitory abilities. These results suggest that the errorless procedure improves the quality of learning of mild AD patients (production of fewer errors) but do not influence the learning rate per se. [less ▲]

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See detailLearning and motivation to transfer after an e-learning programme: Impact of trainees’ motivation to train, personal interaction and satisfaction
Peters, Stéphanie ULg; Barbier, Marie ULg; Faulx, Daniel ULg et al

in Innovations in Education & Teaching International (2012), 49(4), 375-387

While e-learning appears to be increasingly present in training and education, the systematic evaluation of its effectiveness remains understudied. In this paper, we determine the mediating role of ... [more ▼]

While e-learning appears to be increasingly present in training and education, the systematic evaluation of its effectiveness remains understudied. In this paper, we determine the mediating role of satisfaction between motivation to train and personal interaction on the one hand, and learning and motivation to transfer, on the other hand. A particularity of this study is that we distinguish between different dimensions of satisfaction - enjoyment, utility, difficulty, and take into account lack of personal interaction as a variable influencing satisfaction. Results of structural equation modelling analyses show an impact of the enjoyment dimension on learning, and of the utility and difficulty dimensions on motivation to transfer. The results also stress the importance of interaction opportunities, as these have an indirect effect on learning and motivation to transfer. [less ▲]

Detailed reference viewed: 127 (28 ULg)
See detailLearning and multimedia
Denis, Brigitte ULg

in Teaching, learning, information : towards an open socratic school (1997)

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See detailLearning and Teaching Paradigms applied in e-Learning
Denis, Brigitte ULg

Conference (2008, June)

Description of teaching and learning paradigms applied in elearning environments.The model presented sustains the instructional design of such environments.

Detailed reference viewed: 11 (0 ULg)
See detailLearning and Teaching Styles
Simons, Germain ULg

Scientific conference (2001, May 16)

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See detailLearning at school, learning at labour. Some differences, some inequalities
Andre, Géraldine ULg

Conference (2007, September)

Detailed reference viewed: 2 (0 ULg)
See detailLearning Continuous Grasp Affordances by Sensorimotor Exploration
Detry, Renaud ULg; Başeski, Emre; Popović, Mila et al

in Peters, Jan; Sigaud, Olivier (Eds.) From Motor Learning to Interaction Learning in Robots (2010)

Detailed reference viewed: 38 (9 ULg)
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See detailLearning dextrous grasps that generalise to novel objects by combining hand and contact models
Kopicki, Marek; Detry, Renaud ULg; Schmidt, Florian et al

in IEEE International Conference on Robotics and Automation (2014)

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See detailLearning exploration/exploitation strategies for single trajectory reinforcement learning
Castronovo, Michaël ULg; Maes, Francis ULg; Fonteneau, Raphaël ULg et al

in Proceedings of the 10th European Workshop on Reinforcement Learning (EWRL 2012) (2012)

We consider the problem of learning high-performance Exploration/Exploitation (E/E) strategies for finite Markov Decision Processes (MDPs) when the MDP to be controlled is supposed to be drawn from a ... [more ▼]

We consider the problem of learning high-performance Exploration/Exploitation (E/E) strategies for finite Markov Decision Processes (MDPs) when the MDP to be controlled is supposed to be drawn from a known probability distribution pM( ). The performance criterion is the sum of discounted rewards collected by the E/E strategy over an in finite length trajectory. We propose an approach for solving this problem that works by considering a rich set of candidate E/E strategies and by looking for the one that gives the best average performances on MDPs drawn according to pM( ). As candidate E/E strategies, we consider index-based strategies parametrized by small formulas combining variables that include the estimated reward function, the number of times each transition has occurred and the optimal value functions V and Q of the estimated MDP (obtained through value iteration). The search for the best formula is formalized as a multi-armed bandit problem, each arm being associated with a formula. We experimentally compare the performances of the approach with R-max as well as with e-Greedy strategies and the results are promising. [less ▲]

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See detailLearning for exploration/exploitation in reinforcement learning
Castronovo, Michaël ULg

Master's dissertation (2012)

We consider the problem of learning high-performance Exploration/Exploitation (E/E) strategies for finite Markov Decision Processes (MDPs) when the MDP to be controlled is supposed to be drawn from a ... [more ▼]

We consider the problem of learning high-performance Exploration/Exploitation (E/E) strategies for finite Markov Decision Processes (MDPs) when the MDP to be controlled is supposed to be drawn from a known probability distribution pM(·). The performance criterion is the sum of discounted rewards collected by the E/E strategy over an infinite length trajectory. We propose an approach for solving this problem that works by considering a rich set of candidate E/E strategies and by looking for the one that gives the best average performances on MDPs drawn according to pM(·). As candidate E/E strategies, we consider index-based strategies parametrized by small formulas combining variables that include the estimated reward function, the number of times each transition has occurred and the optimal value functions ˆ V and ˆQ of the estimated MDP (obtained through value iteration). The search for the best formula is formalized as a multi-armed bandit problem, each arm being associated with a formula. We experimentally compare the performances of the approach with R-max as well as with -Greedy strategies and the results are promising. [less ▲]

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See detailLearning from Maasmechelen ou la ville comme décor
Dawans, Stéphane ULg; Houbart, Claudine ULg

in Pinto da Silva, Madalena (Ed.) EURAU12 Porto | Espaço Público e Cidade Contemporânea: Actas do 6º European Symposium on Research in Architecture and Urban Design (2012)

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See detailLearning from positive and unlabeled examples by enforcing statistical significance
Geurts, Pierre ULg

in JMLR: Workshop and Conference Proceedings (2011, April), 15

Given a finite but large set of objects de- scribed by a vector of features, only a small subset of which have been labeled as ‘positive’ with respect to a class of interest, we consider the problem of ... [more ▼]

Given a finite but large set of objects de- scribed by a vector of features, only a small subset of which have been labeled as ‘positive’ with respect to a class of interest, we consider the problem of characterizing the positive class. We formalize this as the problem of learning a feature based score function that minimizes the p-value of a non parametric statistical hypothesis test. For lin- ear score functions over the original feature space or over one of its kernelized versions, we provide a solution of this problem computed by a one-class SVM applied on a surrogate dataset obtained by sampling subsets of the overall set of objects and representing them by their average feature-vector shifted by the average feature-vector of the original sample of positive examples. We carry out experiments with this method on the prediction of targets of transcription factors in two different organisms, E. Coli and S. Cererevisiae. Our method extends enrichment analysis commonly carried out in Bioinformatics and its results outperform common solutions to this problem. [less ▲]

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See detailLearning from recombinant GH treatment in obesity
Vandeva, S.; Rixhon, M.; Tichomirova, M. A. et al

in Obesity and Metabolism (2009), 5(3/4), 156-166

Obese and untreated growth hormone deficiency (GHD) patients have a number of similar clinical and biological abnormalities. Treatment with recombinant human growth hormone (rhGH) in GHD patients has ... [more ▼]

Obese and untreated growth hormone deficiency (GHD) patients have a number of similar clinical and biological abnormalities. Treatment with recombinant human growth hormone (rhGH) in GHD patients has proven effective in beneficially modulating body composition and certain cardiovascular risk factors, thus leading to the hypothesis that administration of rhGH in obese patients could show similar beneficial results. Hyperinsulinism and increased free fatty acid levels are the main factors causing reduced GH release in the setting of obesity. We reviewed the outcomes of 25 adult and paediatric clinical studies carried out in 1987-2009 that examined the effects of rhGH administration in the obese state. Body composition showed mainly a reduction in visceral abdominal fat, whereas total bodyweight increased or remained unchanged. Effects of rhGH on lipid and carbohydrate metabolic profiles in obese patients were heterogeneous. The increasing burden of obesity on one hand, the absence of definitive medical treatment on the other, give rise to grounds for considering rhGH as a possible therapeutic option if not in the general obese population, at least in patients with higher risk of cardiovascular morbidity and mortality. [less ▲]

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See detailLearning from the Past to Improve Future Resettlement Associated with Climate Change
de Sherbinin, Alex; Castro, Marcia; Gemenne, François ULg et al

in Science (2011), 334(6055), 456-457

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See detailLearning Grasp Affordance Densities
Detry, Renaud ULg; Kraft, D.; Kroemer, O. et al

in Paladyn. Journal of Behavioral Robotics (2011), 2(1), 1--17

Detailed reference viewed: 10 (2 ULg)
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See detailLearning in, through, and about participatory technology assessment: The case of nanotechnologies for tomorrow's society (NanoSoc)
Van Oudheusden, Michiel ULg

in Technology Analysis & Strategic Management (2014)

In participatory technology assessment (pTA), technical and nontechnical communities convene to share their views on a sociotechnical challenge, in an attempt to render technology research and development ... [more ▼]

In participatory technology assessment (pTA), technical and nontechnical communities convene to share their views on a sociotechnical challenge, in an attempt to render technology research and development more socially robust. Taking these commitments to transdisciplinary collaboration and co-construction of technology as entry points, this article describes key tensions that emerged in a Flemish pTA project on nanotechnologies, entitled ‘Nanotechnologies for Tomorrow’s Society’ (NanoSoc). The tensions pertain to how the terms of participation were enacted, the potentially conflicting aims embedded in the project’s mission and methods, the various roles initiating pTA researchers (social scientists) assumed throughout the project’s duration, and the deliberative-democratic rationale that sustains pTA frameworks at large. The article is a response to a pressing question posed to the author by pTA professionals, project participants, and policymakers who ask publics to partake in science and technology decision making: Now that NanoSoc is terminated, what can we learn from it? [less ▲]

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See detailLearning inclusion-optimal chordal graphs
Auvray, Vincent; Wehenkel, Louis ULg

in Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI-08) (2008, July 09)

Chordal graphs can be used to encode dependency models that are representable by both directed acyclic and undirected graphs. This paper discusses a very simple and efficient algorithm to learn the ... [more ▼]

Chordal graphs can be used to encode dependency models that are representable by both directed acyclic and undirected graphs. This paper discusses a very simple and efficient algorithm to learn the chordal structure of a probabilistic model from data. The algorithm is a greedy hill-climbing search algorithm that uses the inclusion boundary neighborhood over chordal graphs. In the limit of a large sample size and under appropriate hypotheses on the scoring criterion, we prove that the algorithm will find a structure that is inclusion-optimal when the dependency model of the data-generating distribution can be represented exactly by an undirected graph. The algorithm is evaluated on simulated datasets. [less ▲]

Detailed reference viewed: 5 (2 ULg)
See detailLearning Latin: Grammars and Annotations in Latin Papyri
Scappaticcio, Maria Chiara ULg

Conference (2012, April 14)

Detailed reference viewed: 10 (1 ULg)
See detailLearning modern languages at school in the European Union
Blondin, Christiane ULg

Book published by Office for Official Publications of the European Communities (1997)

Detailed reference viewed: 3 (0 ULg)