Artificial Intelligence and Machine Learning
portes grátis
Artificial Intelligence and Machine Learning
35th Benelux Conference, BNAIC/Benelearn 2023, Delft, The Netherlands, November 8-10, 2023, Revised Selected Papers
Verwer, Sicco; Kok, Manon; Oliehoek, Frans A.
Springer International Publishing AG
12/2024
276
Mole
9783031746499
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- No Imputation without Representation.
.- Relevance Feedback Strategies for Reducing Review Effort in Recall-oriented Neural Information Retrieval.
.- Defining and Evaluating the Optimal Degree of Abstraction in Explanations with Kolmogorov complexity .
.- Assessing Aggressive Driving Behaviour Using Attention Based Models.
.- Multi-Agent Counterfactual Communication using Difference Rewards Policy Gradients.
.- Forecast Reconciliation for Vaccine Supply Chain Optimization.
.- Machine Learning Applications in Route Planning for Attended Home Delivery.
.- ironment: A New Environment for Coordination critical Multi-agent Tasks.
.- Deep Learning Classifiers to Reduce False Positives in Osteolytic Lesion Segmentation Results from Low-dose CT Scans of Multiple Myeloma.
.- Why do Penguins Fly? Explaining Boolean Classifiers with Non-monotonic Background Theories.
.- Relevance Feedback Strategies for Reducing Review Effort in Recall-oriented Neural Information Retrieval.
.- Defining and Evaluating the Optimal Degree of Abstraction in Explanations with Kolmogorov complexity .
.- Assessing Aggressive Driving Behaviour Using Attention Based Models.
.- Multi-Agent Counterfactual Communication using Difference Rewards Policy Gradients.
.- Forecast Reconciliation for Vaccine Supply Chain Optimization.
.- Machine Learning Applications in Route Planning for Attended Home Delivery.
.- ironment: A New Environment for Coordination critical Multi-agent Tasks.
.- Deep Learning Classifiers to Reduce False Positives in Osteolytic Lesion Segmentation Results from Low-dose CT Scans of Multiple Myeloma.
.- Why do Penguins Fly? Explaining Boolean Classifiers with Non-monotonic Background Theories.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence;Machine Learning;Planning;Vision;Applications of AI;Natural Language Processing;Reinforcement Learning
.- No Imputation without Representation.
.- Relevance Feedback Strategies for Reducing Review Effort in Recall-oriented Neural Information Retrieval.
.- Defining and Evaluating the Optimal Degree of Abstraction in Explanations with Kolmogorov complexity .
.- Assessing Aggressive Driving Behaviour Using Attention Based Models.
.- Multi-Agent Counterfactual Communication using Difference Rewards Policy Gradients.
.- Forecast Reconciliation for Vaccine Supply Chain Optimization.
.- Machine Learning Applications in Route Planning for Attended Home Delivery.
.- ironment: A New Environment for Coordination critical Multi-agent Tasks.
.- Deep Learning Classifiers to Reduce False Positives in Osteolytic Lesion Segmentation Results from Low-dose CT Scans of Multiple Myeloma.
.- Why do Penguins Fly? Explaining Boolean Classifiers with Non-monotonic Background Theories.
.- Relevance Feedback Strategies for Reducing Review Effort in Recall-oriented Neural Information Retrieval.
.- Defining and Evaluating the Optimal Degree of Abstraction in Explanations with Kolmogorov complexity .
.- Assessing Aggressive Driving Behaviour Using Attention Based Models.
.- Multi-Agent Counterfactual Communication using Difference Rewards Policy Gradients.
.- Forecast Reconciliation for Vaccine Supply Chain Optimization.
.- Machine Learning Applications in Route Planning for Attended Home Delivery.
.- ironment: A New Environment for Coordination critical Multi-agent Tasks.
.- Deep Learning Classifiers to Reduce False Positives in Osteolytic Lesion Segmentation Results from Low-dose CT Scans of Multiple Myeloma.
.- Why do Penguins Fly? Explaining Boolean Classifiers with Non-monotonic Background Theories.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
