Search (219 results, page 10 of 11)

Ma, Z.; Sun, A.; Cong, G.: On predicting the popularity of newly emerging hashtags in Twitter (2013) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Schaalje, G.B.; Blades, N.J.; Funai, T.: ¬An open-set size-adjusted Bayesian classifier for authorship attribution (2013) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Barthel, S.; Tönnies, S.; Balke, W.-T.: Large-scale experiments for mathematical document classification (2013) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Sojka, P.; Lee, M.; Rehurek, R.; Hatlapatka, R.; Kucbel, M.; Bouche, T.; Goutorbe, C.; Anghelache, R.; Wojciechowski, K.: Toolset for entity and semantic associations : Final Release (2013) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Desale, S.K.; Kumbhar, R.: Research on automatic classification of documents in library environment : a literature review (2013) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Liu, R.-L.: ¬A passage extractor for classification of disease aspect information (2013) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Aphinyanaphongs, Y.; Fu, L.D.; Li, Z.; Peskin, E.R.; Efstathiadis, E.; Aliferis, C.F.; Statnikov, A.: ¬A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization (2014) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Barbu, E.: What kind of knowledge is in Wikipedia? : unsupervised extraction of properties for similar concepts (2014) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Vilares, D.; Alonso, M.A.; Gómez-Rodríguez, C.: On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages (2015) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Fang, H.: Classifying research articles in multidisciplinary sciences journals into subject categories (2015) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Golub, K.; Hansson, J.; Soergel, D.; Tudhope, D.: Managing classification in libraries : a methodological outline for evaluating automatic subject indexing and classification in Swedish library catalogues (2015) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Piros, A.: Automatic interpretation of complex UDC numbers : towards support for library systems (2015) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Ko, Y.: ¬A new term-weighting scheme for text classification using the odds of positive and negative class probabilities (2015) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Kasprzik, A.: Automatisierte und semiautomatisierte Klassifizierung : eine Analyse aktueller Projekte (2014) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Mu, T.; Goulermas, J.Y.; Korkontzelos, I.; Ananiadou, S.: Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities (2016) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Yang, P.; Gao, W.; Tan, Q.; Wong, K.-F.: ¬A link-bridged topic model for cross-domain document classification (2013) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
Borodin, Y.; Polishchuk, V.; Mahmud, J.; Ramakrishnan, I.V.; Stent, A.: Live and learn from mistakes : a lightweight system for document classification (2013) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
HaCohen-Kerner, Y. et al.: Classification using various machine learning methods and combinations of key-phrases and visual features (2016) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```
AlQenaei, Z.M.; Monarchi, D.E.: ¬The use of learning techniques to analyze the results of a manual classification system (2016) 1.00
```
1.0 = *:*, product of:
  1.0 = boost
  1.0 = queryNorm
```