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Výsledek výzkumu

Group-enhanced ranking

learning framework for ranking based on document groups. Multiple level labels with higher relevance labels is always ranked upon the ones with lower relevance labels to the group with higher relevance

IN - Informatika

  • 2015
  • Jx
  • Odkaz
Výsledek výzkumu

Automata Approach to Graphs of Bounded Rank-width

of rank-decompositions of graphs using labeling parse trees which is, after all, mathematically equivalent to the recent algebraic graph-expression approach to rankRank-width is a rather new structural graph measu...

IN - Informatika

  • 2008
  • D
Výsledek výzkumu

Automata Approach to Graphs of Bounded Rank-width

of rank-decompositions of graphs using labeling parse trees which is, after all, mathematically equivalent to the recent algebraic graph-expression approach to rankRank-width is a rather new structural graph measu...

IN - Informatika

  • 2008
  • D
Výsledek výzkumu

Video Sequence Boundary Labeling with Temporal Coherence

We propose a method for video sequence boundary labeling which maintains of the label boxes only to the horizontal direction, and reserve free space for the movement of the label boxes in the label layout. The prop...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • D
  • Odkaz
Výsledek výzkumu

Video Sequence Boundary Labeling with Temporal Coherence

We propose a method for video sequence boundary labeling which maintains of the label boxes only to the horizontal direction, and reserve free space for the movement of the label boxes in the label layout. The prop...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • D
  • Odkaz
Výsledek výzkumu

Selecting text entries using a few positive samples and similarity ranking

patterns labeled manually in advance. Unlabeled text items are compared with such labeled patterns. The unlabeled samples are then ranked according their degree of similarity with the patterns. At the top of the rank

IN - Informatika

  • 2011
  • Jx
Výsledek výzkumu

Rank-aware Clustering of Relational Data: Organizing Search Results

We address a practical issue on organizing and presenting structured data that is already ordered with respect to some ranking, typically, search engine results interesting clusters of items in data table taking their ranking into a...

IN - Informatika

  • 2016
  • D
Výsledek výzkumu

Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition

, including maxout, bootstrapping for training with noisy labels, and filtering the data with noisy labels using a classifier pre-trained on the trusted dataset. The final subsets of the provided training data. With the proposed app...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Odkaz
Výsledek výzkumu

On the optimality of the max-depth and max-rank classifiers for spherical data

The main goal of supervised learning is to construct a function from labeled training data which assigns arbitrary new data points to one of the labels. Classification tasks may be solved by using some measures of data point central...

Statistics and probability

  • 2020
  • Jimp
  • Odkaz
Výsledek výzkumu

ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation

retrieval and multi-step re-ranking framework, our proposed system, ILCiteR, recommends recommendations, ILCiteR retrieves ranked lists of evidence span and recommended paper pairs expensive training on massive labeled dat...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Odkaz
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