Cover Image

QR Code

Automata and computability

Main Author:	Kozen, Dexter C
Series:	Undergraduate texts in computer science
Subjects:	Machine theory Computable functions Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Introduction to automata theory, languages, and computation
by: Hopcroft, John E
Published: (2007)

Introduction to automata theory, languages, and computation
by: Hopcroft, John E
Published: (2007)

Introduction to automata theory, languages, and computation
by: Hopcroft, John E
Published: (2001)

Theory of automata, languages and computation
by: Kumar, Rajendra
Published: (2010)

Introduction to automata theory, languages, and computation
by: Hopcroft, John E
Published: (1979)

Finite automata
by: Lawson, Mark V
Published: (2004)

An introduction to formal languages and automata
by: Linz, Peter
Published: (2006)

Algorithm and design complexity

Communication complexity and applications
by: Rao, Anup

Sampled-data control of logical networks
by: Liu, Yang

Stohastic complexity in statistical inquiry
by: Rissanen, Jorma
Published: (1989)

A new kind of science
by: Wolfram, Stephen

Machine learning : a Bayesian and optimization perspective
by: Theodoridis, Sergios

Theory of computer science : automata, languages and computation
by: Mishra, K.L.P
Published: (2007)

Logic and language models for computer science
by: Richards, Dana

Object oriented systems analysis and design
by: Ashrafi, Noushin

Knowledge structures for communications in human-computer systems : general automata-based
by: Koenig, Eldo C
Published: (2007)

Advances in domain adaptation theory
by: Redko, Ievgen

Machine learning on commodity tiny devices : theory and practice
by: Guo, Song

Neural networks and deep learning : a textbook
by: Aggarwal, Charu C
Published: (2018)

Generative adversarial networks and deep learning : theory and applications

Swarm intelligence and evolutionary computation : theory, advances and applications in machine learning and deep learning
by: Kouziokas, Georgios N.

Machine learning theory and applications : hands-on use cases with Python on classical and quantum machines
by: Vasques, Xavier

Learning deep learning : theory and practice of neural networks, computer vision, nlp, and transformers using tensorflow
by: Ekman, Magnus

Foundations of deep reinforcement learning : theory and practice in python
by: Graesser, Laura

Deep learning : algorithms and applications
Published: (2020)

Foundations of machine learning
by: Mohri, Mehryar

Heterogeneous graph representation learning and applications
by: Shi, Chuan

Not with a bug, but with a sticker : attacks on machine learning systems and what to do about them
by: Kumar, Ram Shankar Siva

Machine learning and optimization models for optimization in cloud

Machine learning in the AWS cloud : add intelligence to applications with Amazon SageMaker and Amazon Rekognition
by: Mishra, Abhishek

Foundations of deep reinforcement learning : theory and practice in Python
by: Graesser, Laura Harding

Machine learning with the Raspberry Pi : experiments with data and computer vision
by: Norris, Donald J

Deep learning in bioinformatics : techniques and applications in practice
by: Izadkhah, Habib

Machine learning and mechanics based soft computing applications

Mechanical engineering design
by: Ugural, Ansel C

Fundamentals of machine component design
by: Juvinall, Robert C

Machine design
by: Jindal, U. C

Fundamentals of machine component design
by: Juvinall, Robert C
Published: (2000)

Design of machine elements
by: Sharma, C.S
Published: (2003)