Pages that link to "Item:Q5959969"
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The following pages link to Text categorization with support vector machines. How to represent texts in input space? (Q5959969):
Displaying 20 items.
- A selective sampling approach to active feature selection (Q814628) (← links)
- Using support vector machines to learn the efficient set in multiple objective discrete optimization (Q958095) (← links)
- One-class SVMs challenges in audio detection and classification applications (Q966918) (← links)
- Matrix representations, linear transformations, and kernels for disambiguation in natural language (Q1009314) (← links)
- Support vector machines: Relevance feedback and information retrieval. (Q1395479) (← links)
- On machine learning methods for Chinese document categorization (Q1397430) (← links)
- Authorship attribution with support vector machines (Q1405411) (← links)
- Text categorization for a comprehensive time-dependent benchmark (Q1881246) (← links)
- A new document representation based on global policy for supervised term weighting schemes in text categorization (Q2086896) (← links)
- On multilabel classification methods of incompletely labeled biomedical text data (Q2262650) (← links)
- Semi-structured document categorization with a semantic kernel (Q2270844) (← links)
- Beyond hybrid generative discriminative learning: spherical data classification (Q2337408) (← links)
- Class normalization in centroid-based text categorization (Q2489215) (← links)
- (Q3093239) (← links)
- DISCOVERING ROBUST EMBEDDINGS IN (DIS)SIMILARITY SPACE FOR HIGH-DIMENSIONAL LINGUISTIC FEATURES (Q3462273) (← links)
- From Frequency to Meaning: Vector Space Models of Semantics (Q5190269) (← links)
- Advances in Information Retrieval (Q5308030) (← links)
- Machine Learning: ECML 2004 (Q5450771) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707021) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707283) (← links)
