Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Toon Calders,Floriana Esposito,Rosa Meo Conference proceedings

字形刻痕

abstemious

Microaneurysm

Support Vector Machines for Differential Predictionndard measure of differential prediction. We next propose a model that directly optimizes a standard measure in this field, the . measure. We evaluate our models on real data from two medical applications and show excellent results.

得意人

Fast LSTD Using Stochastic Approximation: Finite Time Analysis and Application to Traffic Controlnative for least squares regression and provide finite-time bounds there. We demonstrate the practicality of our method for LSTD empirically by combining it with the LSPI algorithm in a traffic signal control application.

Musculoskeletal

GLUT

FILTA: Better View Discovery from Collections of Clusterings via Filteringarly the use of visualization for determining the dominant views in the dataset. We evaluate FILTA on both synthetic and real world datasets, and see how its use can enhance view discovery for complex scenarios.

任命

哑剧

Bi-directional Representation Learning for Multi-label Classificationteps, while closed-form solutions exist for one major step. Our experiments conducted on a variety of multi-label data sets demonstrate the efficacy of the proposed bi-directional representation learning model for multi-label classification.

antidepressant

Optimal Thresholding of Classifiers to Maximize F1 Measureal case, if the classifier is completely uninformative, then the optimal behavior is to classify all examples as positive. When the actual prevalence of positive examples is low, this behavior can be undesirable. As a case study, we discuss the results, which can be surprising, of maximizing F1 when predicting 26,853 labels for Medline documents.

commonsense

Randomized Operating Point Selection in Adversarial Classificationng points forces the rational attacker to design less efficient attacks and substantially lowers the expected cost of the detector. We present the equilibrium strategies for sample ROC curves from network intrusion detection system and evaluate the corresponding benefits.