Blog
Gradientenoptimierter Fuzzy-Klassifikator: Eine Benchmark-Studie dagegen Modernste Modelle
This paper presents a performance benchmarking study of a Gradient-Optimized Fuzzy Inference System (GF) classifier against several state-of-the-art machine learning models, einschließlich Random Forest, XGBoost, Logistische Regression, Unterstützen Sie Vektormaschinen, und Neuronale Netze. The evaluation was conducted across five datasets from the...
Begriffskodierung für extreme Kombinatorik: Streuung und Komplexität Dichotomien
We introduce \emph{Begriffskodierung}, a novel framework for analysing extremal problems in discrete mathematics by encoding them as finite systems of \emph{Termgleichungen} (Und, optional, \emph{Ungleichheitsbeschränkungen}). In its basic form, Alle Variablen erstrecken sich über einen einzigen Bereich, and we seek an...
Steigerung der Klassifikatorleistung mit oppositionsbasierten Daten Transformation
In diesem Papier, we introduce a novel data transformation framework based on Opposition-Based Learning (OBL) to boost the performance of traditional classification algorithms. Originally developed to accelerate convergence in optimization tasks, OBL is leveraged here to generate synthetic opposite samples that replace...
Ein geometrischer Ansatz für Probleme in der Optimierung und Datenwissenschaft
We give new results for problems in computational and statistical machine learning using tools from high-dimensional geometry and probability. Wir unterteilen unsere Behandlung in zwei Teile. In Teil I, we focus on computational considerations in optimization. Speziell, we give new algorithms...
Formausrichtung durch nichtlineare Allen-Cahn-Konvektion
This paper demonstrates the impact of a phase field method on shape registration to align shapes of possibly different topology. It yields new insights into the building of discrepancy measures between shapes regardless of topology, which would have applications in fields of...
Affektmodelle sind nur schwach auf atypische Sprache verallgemeinerbar
Sprach- und Stimmzustände können die akustischen Eigenschaften von Sprache verändern, which could impact the performance of paralinguistic models for affect for people with atypical speech. We evaluate publicly available models for recognizing categorical and dimensional affect from speech on a dataset...
Lineare zeitliche Teilsequenz- und Supersequenz-Regex-Übereinstimmung
It is well-known that checking whether a given string $w$ matches a given regular expression $r$ can be done in quadratic time $O(|w|\cdot |R|)$ and that this cannot be improved to a truly subquadratic running time of $O((|w|\cdot |R|)^{1-\epsilon})$ assuming the strong...
Tief, data-driven modeling of room acoustics: literature review and research perspectives
Our everyday auditory experience is shaped by the acoustics of the indoor environments in which we live. Room acoustics modeling is aimed at establishing mathematical representations of acoustic wave propagation in such environments. These representations are relevant to a variety of problems...
GENCNIPPET: Automated Generation of Code Snippets for Supporting Programming Questions
Context: Software developers often ask questions on Technical Q&A forums like Stack Overflow (SO) to seek solutions to their programming-related problems (z.B., errors and unexpected behavior of code). Problem: Many questions miss required code snippets due to the lack of readily available...
CHIME All-sky Multiday Pulsar Stacking Search (CHAMPSS): System Overview and First Discoveries
We describe the CHIME All-sky Multiday Pulsar Stacking Search (CHAMPSS) project. This novel radio pulsar survey revisits the full Northern Sky daily, offering unprecedented opportunity to detect highly intermittent pulsars, as well as faint sources via long-term data stacking. CHAMPSS uses the...