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8 papers · 1 filter
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
Piotr S. Maciąg, Marzena Kryszkiewicz, Robert Bembenik +2
Unsupervised anomaly discovery in stream data is a research topic with many practical applications. However, in many cases, it is not easy to collect enough training data with labe…
Response Transformation and Profit Decomposition for Revenue Uplift Modeling
Robin M. Gubela, Stefan Lessmann, Szymon Jaroszewicz
Uplift models support decision-making in marketing campaign planning. Estimating the causal effect of a marketing treatment, an uplift model facilitates targeting communication to…
Dalitz-plot decomposition for three-body decays
JPAC Collaboration, M. Mikhasenko, M. Albaladejo +9
We present a general formalism to write the decay amplitude for multibody reactions with explicit separation of the rotational degrees of freedom, which are well controlled by the…
Parametric Verification: An Introduction
Étienne André, Michał Knapik, Didier Lime +2
This paper constitutes a short introduction to parametric verification of concurrent systems. It originates from two 1-day tutorial sessions held at the Petri nets conferences in T…
Selection consistency of Lasso-based procedures for misspecified high-dimensional binary model and random regressors
Mariusz Kubkowski, Jan Mielniczuk
We consider selection of random predictors for high-dimensional regression problem with binary response for a general loss function. Important special case is when the binary model…
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection
Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão +2
In this paper, we adapt Recurrent Neural Networks with Stochastic Layers, which are the state-of-the-art for generating text, music and speech, to the problem of acoustic novelty d…