Suche mittels Attribut
Diese Seite stellt eine einfache Suchoberfläche zum Finden von Objekten bereit, die ein Attribut mit einem bestimmten Datenwert enthalten. Andere verfügbare Suchoberflächen sind die Attributsuche sowie der Abfragengenerator.
Liste der Ergebnisse
- Active Learning for experimental exploration +
- Analyse von Zeitreihen-Kompressionsmethoden am Beispiel von Google N-Grams +
- Approximating an Ngram Corpus with Probabilistic Methods +
- Auswahl von SAT Instanzen zur Evaluation von Solvern +
- Batch query strategies for one-class active learning +
- Canonical Monte Carlo Dependency Estimation +
- Collective Entity Matching for Linking Structures in Attributed Material Graphs +
- Density-Based Outlier Detection Benchmark on Synthetic Data +
- Detecting Outlying Time-Series with Global Alignment Kernels +
- Developing a Database Application to Compare the Google Books Ngram Corpus to German News Corpora +
- Developing a Framework for Mining Temporal Data from Twitter as Basis for Time-Series Correlation Analysis +
- Development and evaluation of efficient kNN search of time series subsequences using the example of the Google Ngram data set +
- Development of an Active Learning Approach for One Class Classification using Bayesian Uncertainty +
- Efficient Reduction of Energy Time Series +
- Efficient Training of Graph Neural Networks for Dynamic Phenomena (Proposal) +
- Entwicklung einer Methode zum Vergleich mehrsprachiger und zeitabhängiger Textkorpora am Beispiel des Google Books Ngram Datensatzes +
- Erklärbare k-Portfolios von SAT-Solvern +
- Evaluierung unbalancierter Lernmethoden +
- Feature-based Time Series Generation +
- Hidden Outliers in Manifolds +
- Implementation and Evaluation of CHQL Operators in Relational Database Systems +
- Improving Document Information Extraction with efficient Pre-Training +
- Information Content of Targeted Disturbances in the Electrical Grid +
- Informationsbedürfnisse zur Untersuchung der Begriffsgeschichte +
- Injection Molding Simulation based on Graph Neural Networks +
- Local Outlier Factor for Feature‐evolving Data Streams +
- Meta-Learning Feature Importance +
- Meta-Modeling the Feature Space +
- Meta-learning for Encoder Selection +
- Modeling Dynamic Systems using Slope Constraints: An Application Analysis of Gas Turbines +
- Monitoring Complex Systems with Domain Knowledge: Adapting Contextual Bandits to Tracing Data +
- Neural-Based Outlier Detection in Data Streams +
- On the Converge of Monte Carlo Dependency Estimators +
- Online Nyström MMD Approximation +
- Patient Rule Induction Method with Active Learning +
- Predictability of Classification Performance Measures with Meta-Learning +
- Predicting System Dependencies from Tracing Data Instead of Computing Them +
- Query Synthesis in One-Class Active Learning +
- Reinforcement Learning for Solving the Knight’s Tour Problem +
- Review of data efficient dependency estimation +
- Review of dependency estimation with focus on data efficiency +
- Robust Subspace Search +
- Skalierung der SVDD für große Datenmengen +
- Standardized Real-World Change Detection Data +
- State of the Art: Multi Actor Behaviour and Dataflow Modelling for Dynamic Privacy +
- Statistical Generation of High-Dimensional Data Streams with Complex Dependencies +
- Streaming Nyström MMD Change Detection +
- Subspace Generative Adversarial Learning for Unsupervised Outlier Detection +
- Surrogate Model Based Process Parameters Optimization of Textile Forming +
- Surrogate models for crystal plasticity - predicting stress, strain and dislocation density over time +