Advances in Artificial Intelligence - neues Buch

EAN (ISBN-13): 9783319896564
Erscheinungsjahr: 5
Herausgeber: Springer International Publishing

Buch in der Datenbank seit 2018-08-07T16:41:08+02:00 (Vienna)
Detailseite zuletzt geändert am 2021-02-15T12:13:15+01:00 (Vienna)
ISBN/EAN: 9783319896564

ISBN - alternative Schreibweisen:
978-3-319-89656-4

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Daten vom Verlag:

Autor/in: Ebrahim Bagheri; Jackie C.K. Cheung
Titel: Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Advances in Artificial Intelligence - 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8–11, 2018, Proceedings
Verlag: Springer; Springer International Publishing
396 Seiten
Erscheinungsjahr: 2018-04-23
Cham; CH
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XIV, 396 p. 83 illus.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; artificial intelligence; classification; computational linguistics; data mining; distributed artificial intelligence; information retrieval; knowledge representation and reasoning; learning algorithms; machine learning; natural language processing; neural networks; planning and scheduling; problem solving; search methodologies; semantics; signal processing; support vector machines; algorithm analysis and problem complexity; C; Artificial Intelligence; Computer and Information Systems Applications; Information Storage and Retrieval; Natural Language Processing (NLP); Algorithms; Data Mining and Knowledge Discovery; Computer Science; Angewandte Informatik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Natürliche Sprachen und maschinelle Übersetzung; Algorithmen und Datenstrukturen; Data Mining; Wissensbasierte Systeme, Expertensysteme; BC

Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy.- De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency.- A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits.- Synthesizing Controllers: On the Correspondence Between LTL Synthesis and Non-Deterministic Planning.- Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines.- Advice-Based Exploration in Model-Based Reinforcement Learning.- Deep Super Learner: A Deep Ensemble for Classification Problem.- One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data.- MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning.- Re-ranking Candidate Lists for Improved Lexical Induction.- Analysis of Social Media Posts for Early Detection of Mental Health Conditions.- Motor Bearing Fault diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal.- Mobile App for Detection of Counterfeit Banknotes.- A Multi-agent Framework for Understanding Addiction.- Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behavior.- An Incremental Machine Learning Algorithm for Nuclear Forensics.- MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models.- Constrained Bayesian Optimization for Problems with Piece-wise Smooth Constraints.- Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding.- Accelerated Gradient and Block-wise Gradient Methods for Big Data Factorization.- Learning Belief Revision Operators.- Solving Constraint Satisfaction Problems Using Firey Algorithms.- An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem.- Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal.- Prediction of Container Damage Insurance Claims for OptimizedMaritime Port Operations.- Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-based Regularized Linear Classification Model.- Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming.- Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings.- Text-based Detection of Unauthorized Users of Social Media Accounts.- N-gram Based Approach for Automatic Prediction of Essay Rubric Marks.- Matching Resumes to Job Descriptions with Stacked Models.- Towards a Comprehensive Evaluation of Recommenders: A Cognition-based Approach.- A Sentence-level Sparse Gamma Topic Model for Sentiment Analysis.- Topic Detection and document Similarity on Financial News.- Software Defect Prediction from Code Quality Measurements via Machine Learning.- Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning.- Estimating Vineyard Grape Yield from Images.- Real-time Deep Learning Pedestrians Classification on a Micro-controller.- A Unified Evaluation Framework for Recommender Systems.- Early Detection of Alzheimer's Disease Using Deep Learning.- Learning with Prior Domain Knowledge and Insufficient Annotated Data.- Predicting Crime Using Spatial Features.- A Tool for Defining and Simulating Storage Strategies on the Smart Grid.- Decision Assist for Self-Driving Cars.- Rule Mining and Prediction Using the Flek Machine -- A New Machine Learning Engine.