How Long to Read Stochastic Algorithms for Learning with Incomplete Data

How Long Does it Take to Read Stochastic Algorithms for Learning with Incomplete Data?

It takes the average reader 3 hours and 32 minutes to read Stochastic Algorithms for Learning with Incomplete Data by James William Myers

Assuming a reading speed of 250 words per minute. Learn more

Description

A goal of machine learning is to develop intelligent systems that improve with experience. To achieve this goal the field has drawn on many diverse disciplines. Because of this diversity, there is no common framework for the field to develop a research vision. This research begins by proposing a machine learning framework. From the framework three hypotheses pertaining to learning Bayesian networks are proposed. The current state-of-the-art learning paradigm for inducing Bayesian networks from incomplete data involves using deterministic greedy hill-climbing algorithms. These algorithms suffer the fate of getting "stuck" at the nearest local maximum. In order to get around this problem, researchers use random restarts. The first hypotheses is that stochastic population-based algorithms will find networks with "good" predictive performance and do not get "stuck" at the nearest local maximum. I demonstrate this hypothesis with an evolutionary algorithm and a Markov Chain Monte Carlo algorithm. A problem with the Markov Chain Monte Carlo algorithm is that it is slow to converge to the stationary distribution. The second hypothesis developed from the framework is that using global information to propose new states will speed convergence. Finally, because the population-based algorithms have multiple models readily available, I explore the hypothesis that multiple models have a better predictive capability than the single "best" model. I demonstrate these hypotheses empirically with three carefully selected datasets.

How long is Stochastic Algorithms for Learning with Incomplete Data?

Stochastic Algorithms for Learning with Incomplete Data by James William Myers is 207 pages long, and a total of 53,199 words.

This makes it 70% the length of the average book. It also has 65% more words than the average book.

How Long Does it Take to Read Stochastic Algorithms for Learning with Incomplete Data Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 50 minutes to read Stochastic Algorithms for Learning with Incomplete Data aloud.

What Reading Level is Stochastic Algorithms for Learning with Incomplete Data?

Stochastic Algorithms for Learning with Incomplete Data is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Stochastic Algorithms for Learning with Incomplete Data?

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