Marc Claesen

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EnsembleSVM is a free software package containing efficient routines to perform ensemble learning with support vector machine (SVM) base models. It currently offers ensemble methods based on binary SVM models. Our implementation avoids duplicate storage and evaluation of support vectors which are shared between constituent models. Experimental results show(More)
We present a novel approach to learn binary classifiers when only positive and unlabeled instances are available (PU learning). This problem is routinely cast as a supervised task with label noise in the negative set. We use an ensemble of SVM models trained on bootstrap subsamples of the training data for increased robustness against label noise. The(More)
Assessing the performance of a learned model is a crucial part of machine learning. Most evaluation metrics can only be computed with labeled data. Unfortunately, in many domains we have many more unlabeled than labeled examples. Furthermore, in some domains only positive and unlabeled examples are available, in which case most standard metrics cannot be(More)
CONTEXT Several observational studies and meta-analyses have reported increased mortality of patients taking sulfonylurea and insulin. The impact of patient profiles and concomitant therapies often remains unclear. OBJECTIVE The objective of the study was to quantify survival of patients after starting glucose-lowering agents (GLAs) and compare it with(More)
Optunity is a free software package dedicated to hyperparameter optimization. It contains various types of solvers, ranging from undirected methods to direct search, particle swarm and evolutionary optimization. The design focuses on ease of use, flexibility, code clarity and interoperability with existing software in all machine learning environments.(More)
Extracts containing penicillin acylase were obtained by shaking the mycelium of Fusarium avenaceum and of Penicillium chrysogenum in 0.2 M sodium acetate or sodium chloride solution. The optimum pH for conversion of penicillin V into 6-aminopenicillanic acid (6-APA) by the enzyme of Fusarium was about 7.5, and the reaction velocity was increased by a rise(More)
Readily hydrolysable basic and dibasic esters of ampicillin were synthesised by alkylation of the carboxylate function of ampicillin to obtain prodrugs that may accumulate in cells and allow for an intracellular delivery of ampicillian (Fan et al., Bioorg. Med. Chem. Lett. 1997, 7, 3107). We found that the beta-lactam ring cleavage and the hydrolysis of the(More)
We present an approximation scheme for support vector machine models that use an RBF kernel. A second-order Maclaurin series approximation is used for exponentials of inner products between support vectors and test instances. The approximation is applicable to all kernel methods featuring sums of kernel evaluations and makes no assumptions regarding data(More)
Abstract We describe the hyperparameter search problem in the field of machine learning and discuss its main challenges from an optimization perspective. Machine learning methods attempt to build models that capture some element of interest based on given data. Most common learning algorithms feature a set of hyperparameters that must be determined before(More)