Pattern Recognition and Machine Learning
Machine Learning and Data Mining: 19 Mining Text And Web Data
Traffic Accident Analysis Using Machine Learning Paradigms
A Review of Machine Learning based Anomaly Detection Techniques
Practical Machine Learning
Machine Learning in R
Machine learning Lecture 2
24 s Big Data Predictive Analytics, Outcome-Based Model, and Machine Learning to Improve the Customer Experience
User-Oriented Machine Learning Strategies for Information Extraction : Putting the Human Back in the Loog
Killtest IBM Total Storage Virtual Tape Server Storage Solution Provides Exceptional Function, Scalability, Attachment, Availability, and Performance Exam Dumps
Use coupon below to get discount at eCampus.com!
$3 off textbook orders over $75
$4 off textbook orders over $90
$5 off textbook orders over $100
Copy the coupon code before clicking the button!
"Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. ...
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting ...
Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides ...
The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? ...
Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it ...
Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective.What distinguishes ...
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact ...
Pattern Recognition and Machine Learning: Proceedings
With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and ...
Genetic Algorithms in Search, Optimization, and Machine Learning