Multi-objective machine learning /

Multi-objective machine learning /

39

Bibliographic Details
Main Author:	Jin, Yaochu, 1966-
Format:
Language:	eng
Published:	Berlin : Springer, 2006
Subjects:	Artificial intelligence Machine learning

Similar Items

Machine learning of inductive bias/
by: 422050 Utgoff, Paul E.
Published: (1986)

Innovations in machine learning : theory and applications /
by: Holmes, Dawn E., et al.
Published: (2006)

Bayesian optimisation for automated machine learning
by: Ru, B
Published: (2022)

Building machines that learn and think like people
by: Lake, Brenden M., et al.
Published: (2016)

Continual learning for efficient machine learning
by: Chaudhry, A
Published: (2020)

Interpretable causal systems: interpretability and causality in machine learning for human and nonhuman decision-making
by: Graham, L
Published: (2020)

Thinking machines : the evalution of artificial intelligence /
by: 442875 Pratt, Vernon
Published: (1987)

Learning to reconstruct and segment 3D objects
by: Yang, B
Published: (2020)

Discrete representations of continuous data using deep learning and clustering
by: Mahon, L
Published: (2022)

Symmetry and generalisation in machine learning
by: Elesedy, B
Published: (2023)

Deep learning with hard logical constraints
by: Giunchiglia, E
Published: (2022)

DNA sequence driven machine learning for modelling replication timing
by: Ashford, J
Published: (2023)

Artificial intelligence research and development /
by: CCIA 2006 (2006 : Perpignan, France), et al.
Published: (2006)

Practical Bayesian optimisation for hyperparameter tuning
by: Alvi, A
Published: (2019)

MagNav Project Successfully Demonstrates Real-Time Magnetic Navigation
Published: (2023)

Artificial intelligence/
by: Time-Life Books
Published: (1986)

The artificial intelligence debate : false starts, real foundations /
by: Graubard, Stephen Richards
Published: (1988)

How to build a person : a prolegomenon /
by: 287510 Pollock, John L.
Published: (1989)

Learning and inference over relational data
by: Abboud, R
Published: (2022)

Deep Reinforcement Learning in complex environments
by: Nardelli, N
Published: (2021)

Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
by: Chen, Xianjie, et al.
Published: (2015)

Learning (to learn) from few examples
by: Bertinetto, L
Published: (2019)

Planning with learned ignorance-aware models
by: Filos, A
Published: (2022)

Machine learning : an artificial intelligence approach /
by: Michalski, R. S., et al.
Published: (1984)

Enhanced extreme learning machine for general regression and classification tasks
by: Mahmood, Saif F
Published: (2020)

The connection machine /
by: 418886 Hillis, W. Daniel
Published: (1985)

Learning the structure of object categories from incomplete supervision
by: Novotny, D
Published: (2018)

Machine learning : ECML-98 /
by: European Conference on Machine Learning (10th : Chemnitz, Germany : 1998), et al.
Published: (1998)

Integrating imaging and omics with machine learning approaches to infer antimicrobial susceptibility in gram-negative bacteria
by: Tran, TA
Published: (2023)

Advances in computation and intelligence : second international symposium, ISICA 2007, Wuhan, China, September 21-23, 2007 : proceedings /
by: ISICA 2007 (2007 : Wuhan, China), et al.
Published: (2007)

Intelligent trajectory prediction algorithm design for dynamic obstacles under factory environments
by: Tan, Melvis Min Da
Published: (2024)

Introduction to machine learning /
by: 458465 Alpaydin, Ethem
Published: (2004)

Machine learning, neural and statistical classification /
by: Michie, Donald, et al.
Published: (1994)

Prediction of stock price direction with machine learning models
by: Kant Kaw Khin
Published: (2024)

Learning object-centric representations
by: Kosiorek, AR
Published: (2019)

Risk-sensitive and robust model-based reinforcement learning and planning
by: Rigter, M
Published: (2022)

Staff Build Robust Algorithms to Strengthen Machine Learning Methods
Published: (2020)

Efficient multi-objective peer-to-peer federated learning
by: Pok, Jin Hwee
Published: (2023)

Artificial intelligence and man-machine systems /
by: Winter, H. (Heinz), 1935-
Published: (1986)

Learning by Augmenting Rules and Accumulating Censors
by: Winston, Patrick H.
Published: (2004)