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Current Approaches and Applications in Natural Language Processing
| Current Approaches and Applications in Natural Language Processing |
| Autore | Montejo-Ráez Arturo |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (476 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
natural language processing
distributional semantics machine learning language model word embeddings machine translation sentiment analysis quality estimation neural machine translation pretrained language model multilingual pre-trained language model WMT neural networks recurrent neural networks named entity recognition multi-modal dataset Wikimedia Commons multi-modal language model concreteness curriculum learning electronic health records clinical text relationship extraction text classification linguistic corpus deception linguistic cues statistical analysis discriminant function analysis fake news detection stance detection social media abstractive summarization monolingual models multilingual models transformer models transfer learning discourse analysis problem-solution pattern automatic classification machine learning classifiers deep neural networks question answering machine reading comprehension query expansion information retrieval multinomial naive bayes relevance feedback cause-effect relation transitive closure word co-occurrence automatic hate speech detection multisource feature extraction Latin American Spanish language models fine-grained named entity recognition k-stacked feature fusion dual-stacked output unbalanced data problem document representation semantic analysis conceptual modeling universal representation trend analysis topic modeling Bert geospatial data technology and application attention model dual multi-head attention inter-information relationship question difficult estimation named-entity recognition BERT model conditional random field pre-trained model fine-tuning feature fusion attention mechanism task-oriented dialogue systems Arabic multi-lingual transformer model mT5 language marker mental disorder deep learning LIWC spaCy RobBERT fastText LIME conversational AI intent detection slot filling retrieval-based question answering query generation entity linking knowledge graph entity embedding global model DISC model personality recognition predictive model text analysis data privacy federated learning transformer |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595079903321 |
Montejo-Ráez Arturo
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Entropy in Image Analysis
| Entropy in Image Analysis |
| Autore | Sparavigna Amelia Carolina |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (456 p.) |
| Soggetto non controllato |
keyframes
time-delay whale optimization algorithm multilevel thresholding multi-exposure image fusion additive manufacturing patch structure decomposition ultra-sound images 3D scanning Arimoto entropy contrast enhancement spatial filling factor depth maps image processing 3D prints differential evolution field of experts normalized divergence measure image privacy multiscale top-hat transform q-exponential texture information entropy diffusion hybrid algorithm Weibull statistics adaptive selection nonextensive entropy computer aided diagnostics fatty liver random forest DNA encoding low contrast entropy Minkowski island fuzzy entropy free-form deformations person re-identification chaotic system DNA computing pavement information entropy discrete entropy Tsallis statistics video skimming prime-indexed primes natural scene statistics (NSS) Hénon map q-sigmoid image entropy Shannon entropy macrotexture Shannon’s entropy binary image multi-feature fusion image analysis uncertainty assessment non-rigid registration hash layer Cantor set dynamic filtering deep neural network security analysis multiple-image encryption Hamming distance blind image quality assessment (BIQA) q-Gaussian remote sensing decay trend chaotic cryptography chaotic strategy cross-entropy loss random insertion metabolic syndrome sign languages generalized entropies relevance feedback image retrieval two-dimensional chaotic economic map cryptanalysis infrared images 3D Latin cube SHA-256 hash value gradient distributions structural entropy discrete cosine transform (DCT) chaotic map hepatic steatosis machine vision electromagnetic field optimization security image segmentation quantization loss colonoscopy video summarization permutation Kapur’s entropy surface quality assessment permutation-diffusion Ramanujan primes Rényi entropies chosen-plaintext attack image encryption dynamic index color image segmentation ultrasound Otsu method sigmoid reconstruction image information entropy 3-D digital imaging positron emission tomography medical imaging |
| ISBN | 3-03921-093-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346845003321 |
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Sparavigna Amelia Carolina
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fuzzy information retrieval / / Donald H. Kraft, Erin Colvin
| Fuzzy information retrieval / / Donald H. Kraft, Erin Colvin |
| Autore | Kraft Donald H. |
| Pubbl/distr/stampa | [San Rafael, California] : , : Morgan & Claypool, , 2017 |
| Descrizione fisica | 1 online resource (83 pages) : illustrations |
| Disciplina | 511.322 |
| Collana | Synthesis lectures on information concepts, retrieval, and services |
| Soggetto topico |
Fuzzy systems
Information retrieval - Automation |
| Soggetto non controllato |
information retrieval system (IRS)
recall precision relevance retrieval status value (RSV) ranking function best match models (BM1) relevance feedback mean average precision (MAP) TF-IDF vector space model probabilistic model Boolean model |
| ISBN | 1-62705-956-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
1. Introduction to information retrieval -- 1.1 Defining information retrieval -- 1.1.1 Retrieval metric -- 1.2 A bit of IR history -- 1.3 The key notion of relevance -- 1.4 Some interesting applications of information retrieval -- 1.5 Where the fuzz is --
2. Modeling -- 2.1 Boolean model -- 2.1.1 Deficiencies with Boolean logic -- 2.2 Vector space model -- 2.3 Probability model -- 2.3.1 Language models -- 2.3.2 Alternative probabilistic best match models -- 2.4 Modern concepts of IR -- 2.5 Fuzzy logic and sets -- 2.6 Membership functions -- 2.6.1 Intuition -- 2.6.2 Inference -- 2.6.3 Rank ordering -- 2.6.4 Neural networks -- 2.6.5 Genetic algorithms -- 2.6.6 Inductive reasoning -- 2.6.7 Aggregation -- 2.7 Extended boolean in IR -- 2.8 Fuzzy evaluation metrics -- 2.8.1 Map -- 2.9 Discounted cumulative gain -- 2.10 Summary -- 3. Source of weights -- 3.1 Indexing -- 3.1.1 TF-IDF -- 3.2 Variants -- 3.2.1 Document length normalization -- 3.3 Querying -- 3.4 Summary -- 4. Relevance feedback and query expansion -- 4.1 Defining relevance feedback -- 4.2 Pseudo-relevant feedback -- 4.3 Relevance feedback with the vector space model -- 4.4 Relevance feedback with the probability model -- 4.5 Relevance feedback with the boolean and fuzzy boolean models -- 4.5.1 Genetic algorithms (programming) for Boolean relevance feedback -- 4.6 Query expansion -- 4.6.1 Adding or changing terms -- 4.7 Fuzzy and rough sets for data mining of a controlled vocabulary -- 4.7.1 Fuzzy set notation for rough sets -- 4.8 Extensions of the rough set approach to retrieval -- 4.8.1 Rough fuzzy sets -- 4.8.2 Fuzzy rough sets -- 4.8.3 Generalized fuzzy and rough sets -- 4.8.4 Nonequivalence relationships -- 4.8.5 Combining several relationships simultaneously -- 5. Clustering for retrieval -- 5.1 Introduction -- 5.2 Applications -- 5.3 Clustering algorithms -- 5.4 Similarity measures -- 5.5 Fuzzy clustering -- 5.6 The fuzzy C-means algorithm -- 5.7 A testing example -- 5.7.1 Fuzzy rule discovery -- 6. Uses of information retrieval today -- Bibliography -- Author biographies. |
| Record Nr. | UNINA-9910163287003321 |
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Kraft Donald H.
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| [San Rafael, California] : , : Morgan & Claypool, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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