Information bottleneck is an information-theoretic principle of representation learning that aims to learn a maximally compressed preserves as much information about labels possible. Under this principle, two different methods have been proposed, i.e., (IB) and deterministic (DIB), gained significant progress in explaining the mechanisms deep algorithms. However, these theoretical empirical suc...

The information bottleneck (IB) method is a technique for extracting that relevant predicting the target random variable from source variable, which typically implemented by optimizing IB Lagrangian balances compression and prediction terms. However, hard to optimize, multiple trials tuning values of multiplier are required. Moreover, we show performance strictly decreases as gets stronger duri...

Lexical Resources are a critical component for Natural Language Processing applications. However, the high cost of comparing and merging different resources has been a bottleneck to obtain richer resources and a broader range of potential uses for a significant number of languages. With the objective of reducing cost by eliminating human intervention, we present a new method towards the automat...

Abstract Horizontal and vertical scalability have been widely studied in the context of computational resources. However, with exponential growth number connected objects, functional (in terms size software systems) is rapidly becoming a central challenge for building efficient service-oriented Internet Things (IoT) systems that generate huge volumes data continuously. As scale up, centralized ...

Lexical Resources are a critical component for Natural Language Processing applications. However, the high cost of comparing and merging different resources has been a bottleneck to have richer resources with a broad range of potential uses for a significant number of languages. With the objective of reducing cost by eliminating human intervention, we present a new method for automating the mer...

The bottleneck (BN) of a production line is a machine that impedes the system’s performance in the strongest manner. It has been shown in the previous work that the so-called downtime bottlenecks (DT-BNs) are of main industrial importance. In this paper, a method for DT-BN identification is developed in the framework of serial production lines with unreliable (Markovian) machines and finite buf...