Title: Change of Representation and Inductive Bias / Edition 1, Author: D. Paul Benjamin
Title: Computational Learning and Probabilistic Reasoning / Edition 1, Author: A. Gammerman
Title: Computational Trust Models and Machine Learning / Edition 1, Author: Xin Liu
Title: Computer Aided Learning and Instruction in Science and Engineering: Third International Conference, CALISCE'96, San Sebastian, Spain, July 29 - 31, 1996, Proceedings / Edition 1, Author: Arantza Diaz de Ilarraza Sanchez
Title: Concept Data Analysis: Theory and Applications / Edition 1, Author: Claudio Carpineto
Title: Connectionist Approaches to Language Learning / Edition 1, Author: David Touretzky
Title: Data Mining With Decision Trees: Theory And Applications, Author: Lior Rokach
Title: Deep Learning, Author: Ian Goodfellow
Title: Deep Learning in Computer Vision: Principles and Applications / Edition 1, Author: Mahmoud Hassaballah
Title: Deep Learning Neural Networks: Design And Case Studies, Author: Daniel Graupe
Title: Design and Control of Intelligent Robotic Systems / Edition 1, Author: Dikai Liu
Title: Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996 Selected Papers / Edition 1, Author: Gerhard Weiï
Title: Enhancing Computer Security with Smart Technology / Edition 1, Author: V. Rao Vemuri
Title: Ensemble Machine Learning: Methods and Applications / Edition 1, Author: Cha Zhang
Title: Evaluating Learning Algorithms: A Classification Perspective, Author: Nathalie Japkowicz
Title: Evolvable Machines: Theory & Practice / Edition 1, Author: Nadia Nedjah
Title: Explanation-Based Neural Network Learning: A Lifelong Learning Approach / Edition 1, Author: Sebastian Thrun
Title: Foundations of Inductive Logic Programming / Edition 1, Author: Shan-Hwei Nienhuys-Cheng
Title: Foundations of Learning Classifier Systems / Edition 1, Author: Larry Bull
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher

Pagination Links