Collection: research
(1 - 20 of 86)

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Lanctot, M. (author), Saffidine, A. (author), Veness, J. (author), Archibald, C. (author), Winands, M.H.M. (author)
conference paper 2013
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Efremova, J. (author), Ranjbar-Sahraei, B. (author), Oliehoek, F.A. (author), Calders, T. (author), Tuyls, K. (author)
We demonstrate an interactive, web-based tool which helps historians to do Genealogical Entity Resolution. This work has two main goals: First, it uses Machine Learning (ML) algorithms to assist humanities researchers to perform Genealogical Entity Resolution. Second, it facilitates the generation of benchmark data for computer scientists to...
conference paper 2013
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Bosman, P.A.N. (author), Thierens, D. (author)
Exploiting a problem’s structure to arrive at the most efficient optimization algorithm is key in many optimization disciplines. In evolutionary computation, especially for solving discrete optimization problems from a black-box optimization (BBO) perspective, linkage learning is an important research line because if important linkages are...
conference paper 2013
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Oliehoek, F.A. (author), Whiteson, S. (author), Spaan, M.T.J. (author)
Dec-POMDPs are a powerful framework for planning in multiagent systems, but are provably intractable to solve. This paper proposes a factored forward-sweep policy computation method that tackles the stages of the problem one by one, exploiting weakly coupled structure at each of these stages. An empirical evaluation shows that the loss in...
conference paper 2013
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Linssen, J. (author), Theune, M. (author), Heylen, D. (author)
We propose a combination of theories about interpersonal stances and politeness to inform virtual agent behaviour in a serious game, aimed at social interaction training in the domain of law enforcement. A pilot study we conducted showed promising results based on which we will refine our model.
conference paper 2013
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Lukovnikov, D. (author), Verbeke, M. (author), Berendt, B. (author)
This paper focuses on topic-based prediction of interest of individual users to posts in the context of Twitter. Two methods for enriching tweets using DBpedia for the purposes of classification are proposed. The first method incorporates entity linking and uses linked entities in a tweet to improve classification, whereas the second method aims...
conference paper 2013
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Tops, H. (author), Van den Bosch, A. (author), Kunneman, F. (author)
We describe a system that estimates when an event is going to happen from a stream of microtexts on Twitter referring to that event. Using a Twitter archive and 60 known football events, we train machine learning classifiers to map unseen tweets onto discrete time segments. The time period before the event is automatically segmented; the...
conference paper 2013
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Van Oijen, J. (author), Dignum, F. (author)
In this paper we propose the use of a shared social context to facilitate agent perception of social dynamics within a virtual environment. We argue that through a shared context it can be more feasible to equip agents with social behaviors and reasoning rules for social intelligence, better suited for real-time constrained serious games with...
conference paper 2013
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Claes, D. (author), Robbel, P. (author), Oliehoek, F.A. (author), Hennes, D. (author), Tuyls, K. (author)
Planning in cooperative multiagent systems can be neatly formalized using Multi-Agent MDPs, but solving these models is computationally costly. This paper introduces a sub-class of problems called spatial task allocation problems (SPATAPS) that model problems in which a team of agents has to service a dynamically changing set of tasks that is...
conference paper 2013
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Ranjbar-Sahraei, B. (author), Alers, S. (author), Stankova, K. (author), Tuyls, K. (author), Weiss, G. (author)
Diversity and inequality are essences of our real world. Ant colonies are comprised of hundreds of individuals, with no two of them being exactly identical. A flock of birds contains individuals with slight variations in size, speed and vision. Looking at human societies such diversity can be seen among individuals differing in body shape and in...
conference paper 2013
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Bargiacchi, E. (author), Verschoor, C.R. (author), Li, G. (author), Roijers, D.M. (author)
Decision-theoretic control of multiple units in game AI [3, 5] is a notoriously hard problem, because the size of the state and action spaces are exponential in the number of agents, making it an interesting testbed for decision theoretic learning algorithms. There are two main approaches: a centralized and decentralized approach. In the...
conference paper 2013
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Sappelli, M. (author), Verberne, S. (author), Kraaij, W. (author)
In this work, we present a binary classification problem in which we aim to identify those email messages that the receiver will reply to. The future goal is to develop a tool that informs a knowledge worker which emails are likely to need a reply. The Enron corpus was used to extract training examples. We analysed the word n-grams that...
conference paper 2013
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Van den Herik, H.J. (author), Kuipers, J. (author), Vermaseren, J.A.M. (author), Plaat, A. (author)
After the defeat of the human chess World Champion in 1997, many researchers turned their attention to the oriental game of Go. The minimax approach, so successful in chess, did not work in Go. Instead, around 2006 a new method was developed: MCTS (Monte Carlo Tree Search). The success of MCTS in Go caused researchers to apply the method to...
conference paper 2013
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Endriss, U. (author), Fernandéz, R. (author)
Crowdsourcing provides new ways of cheaply and quickly gathering large amounts of information contributed by volunteers online. This method has revolutionised the collection of labelled data, in computational linguistics and elsewhere. However, to create annotated linguistic resources from crowdsourced data we face the challenge of having to...
conference paper 2013
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Raaijmakers, S. (author)
We propose a deep graphical model for the correction of isolated spelling errors in text. The model is a deep autoencoder consisting of a stack of Restricted Boltzmann Machines, and learns to associate errorfree strings represented as bags of character n-grams with bit strings. These bit strings can be used to find nearest neighbor matches of...
conference paper 2013
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Huang, Z. (author), Ten Teije, A. (author), Van Harmelen, F. (author)
In this demo we present SemanticCT, a semantically-enabled systems for clinical trials. SemanticCT is built on the top of LarKC, a platform for scalable semantic data processing. SemanticCT has been integrated with large-scale trial data and patient data, and provided various automatic services for clinical trials, which include automatic...
conference paper 2013
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Lanctot, M. (author), Wittlinger, C. (author), Den Teuling, N.G.P. (author), Winands, M.H.M. (author)
MCTS has been successfully applied to many sequential games. This paper investigates Monte Carlo Tree Search (MCTS) for the simultaneous move game Tron. In this paper we describe two different ways to model the simultaneous move game, as a standard sequential game and as a stacked matrix game. Several variants are presented to adapt MCTS to...
conference paper 2013
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Sadowski, K.L. (author), Bosman, P.A.N. (author), Thierens, D. (author)
conference paper 2013
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Christiaens, J. (author), Wauters, T. (author), Vanden Berghe, G. (author), De Wispelaere, A. (author)
DV & O is responsible for prisoner transportation in The Netherlands. The organization needs to solve a vehicle routing problem with time windows [2], where prisoners have to be picked up and delivered while respecting capacity and safety constraints. A daily demand of about 700 prisoner transportations yields a very complex combinatorial...
conference paper 2013
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Zhou, S. (author), Smirnov, E.N. (author), Bou Ammar, H. (author), Peeters, R. (author)
This paper shows that the region classification task can benefit from instance-transfer learning. It proposes to implement a standard region-classification algorithm using a general nonconformity function based on the Transfer AdaBoost algorithm. The experiments show that the new approach produces valid class regions when instances are...
conference paper 2013
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