Search Results - (((((((ant OR wanning) OR semantic) OR wind) OR cantor) OR anne) OR planet) OR hints) algorithms.

Language production and interpretation : linguistics meets cognition by Zeevat, Henk, 1952-

Table of Contents: “…Provisional English; 2.3. The Production Algorithm; 2.3.1. Procedural Interpretation of the Constraints; 2.4. …”
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Intelligence emerging : adaptivity and search in evolving neural systems by Downing, Keith L.

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Foundations of Probabilistic Logic Programming : Languages, Semantics, Inference and Learning. by Riguzzi, Fabrizio

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Machine learning for protein subcellular localization prediction by Wan, Shibiao, Mak, M. W.

Table of Contents: “…5.2.2 Problem transformation methods -- 5.2.3 Multi-label classification in bioinformatics -- 5.3 mGOASVM: A predictor for both single- and multi-location proteins -- 5.3.1 Feature extraction -- 5.3.2 Multi-label multiclass SVM classification -- 5.4 AD-SVM: An adaptive decision multi-label predictor -- 5.4.1 Multi-label SVM scoring -- 5.4.2 Adaptive decision for SVM (AD-SVM) -- 5.4.3 Analysis of AD-SVM -- 5.5 mPLR-Loc: A multi-label predictor based on penalized logistic regression -- 5.5.1 Single-label penalized logistic regression -- 5.5.2 Multi-label penalized logistic regression -- 5.5.3 Adaptive decision for LR (mPLR-Loc) -- 5.6 Summary -- 6 Mining deeper on GO for protein subcellular localization -- 6.1 Related work -- 6.2 SS-Loc: Using semantic similarity over GO -- 6.2.1 Semantic similarity measures -- 6.2.2 SS vector construction -- 6.3 HybridGO-Loc: Hybridizing GO frequency and semantic similarity features -- 6.3.1 Hybridization of two GO features -- 6.3.2 Multi-label multiclass SVM classification -- 6.4 Summary -- 7 Ensemble random projection for large-scale predictions -- 7.1 Random projection -- 7.2 RP-SVM: A multi-label classifier with ensemble random projection -- 7.2.1 Ensemble multi-label classifier -- 7.2.2 Multi-label classification -- 7.3 R3P-Loc: A compact predictor based on ridge regression and ensemble random projection -- 7.3.1 Limitation of using current databases -- 7.3.2 Creating compact databases -- 7.3.3 Single-label ridge regression -- 7.3.4 Multi-label ridge regression -- 7.4 Summary -- 8 Experimental setup -- 8.1 Prediction of single-label proteins -- 8.1.1 Datasets construction -- 8.1.2 Performance metrics -- 8.2 Prediction of multi-label proteins -- 8.2.1 Dataset construction -- 8.2.2 Datasets analysis -- 8.2.3 Performance metrics -- 8.3 Statistical evaluation methods -- 8.4 Summary.…”
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Diversities in quantum computation and quantum information

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Milling simulation : metal milling mechanics, dynamics and clamping principles by Zhang, Weihong

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Earth dynamics : deformations and oscillations of the rotating Earth by Smylie, D. E.

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Evaluation and management for infectious diseases and dermatologic disorders

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Surface Modeling : High Accuracy and High Speed Methods. by Yue, Tian-Xiang

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Inertial navigation systems with geodetic applications by Jekeli, Christopher, 1953-

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The AI book : the artificial intelligence handbook for investors, entrepreneurs and FinTech visionaries

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Introduction to type-2 fuzzy logic control : theory and applications by Mendel, Jerry M., 1938-

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Crop Pest and Disease Remote Sensing Monitoring and Forecasting by Dong, Yingying, Geng, Yun, Guo, Anting, Huang, Wenjang, Ma, Huiqin, Ruan, Chao

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Tolerance graphs by Golumbic, Martin Charles

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Pediatric Sensorineural Hearing Loss : Clinical Diagnosis and Management. by Anne, Samantha

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Deterministic Network Calculus. by Bouillard, Anne

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Nuclear reactor physics and engineering by Lee, John C., 1941-

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Dependable software systems engineering

Table of Contents: “…Reactive Synthesis: Towards Output-Sensitive Algorithms /…”
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In the tradition of Ahlfors and Bers : proceedings of the First Ahlfors-Bers Colloquium, Ahlfors-Bers Colloquium, November 6-8, 1998, State University of New York at Stony Brook

Table of Contents: “…Coverings of Cantor sets /…”
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Schrödinger's cat smile by Suprun, Sergey P., Suprun, A. P. (Anatoliĭ Petrovich), Petrenko, Victor F.

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