Literary Pattern Recognition: Modernism between Close Reading and Machine Learning Author(s): Hoyt Long and Richard Jean So Source: Critical Inquiry, Vol. 42, No. 2 (Winter 2016), ppPublished by: University of

Source URL: lucian.uchicago.edu

SADDLEBACK PUBLISHING ANNOUNCES PARTNERSHIP WITH ON DEMAND BOOKS TO OFFER INSTANT ACCESS TO THEIR EXTENSIVE CATALOG VIA THE ESPRESSO BOOK MACHINE® Everything from Urban Fiction To Reading Comprehension Workbooks For Str

Source URL: ondemandbooks.com

• Publishing
• Public sphere
• Printing
• Bookselling
• Book publishing
• Book formats
• Espresso Book Machine
• Book
• E-book
• Self-publishing
• Espresso
• Jason Epstein

Journal of Machine Learning Research1094 Submitted 12/06; Revised 5/08; Published 5/09 An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak

Source URL: www.jmlr.org

• Mathematical analysis
• Probability theory
• Probability
• Mathematics
• Graphoid
• Bayesian network
• Expected value
• Probability distribution
• Distribution
• Conditional probability distribution
• Random variable
• Conditional mutual information

Using eye tracking as tool to develop and evaluate human-machine systems Sandra Trösterer Magali Gouy

Source URL: ihm09.imag.fr

• Eye
• Vision
• Cognitive science
• Multimodal interaction
• Data collection
• SensoMotoric Instruments
• Eye tracking
• Eye movement
• Usability
• Eye movement in reading
• Eye tracking on the ISS

The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284.

Source URL: www.inf.ed.ac.uk

• Natural language processing
• Computational linguistics
• Semantics
• Vectors
• Machine learning
• Latent semantic analysis
• Semantic similarity
• Distributional semantics
• Word embedding
• Vector space model
• Document-term matrix
• Euclidean vector

Machine Reading Using Markov Logic Networks for Collective Probabilistic Inference Shalini Ghosh, Natarajan Shankar, Sam Owre Computer Sciences Laboratory, SRI International Abstract. DARPA’s Machine Reading project i

Source URL: www.csl.sri.com

Aligning context-based statistical models of language with brain activity during reading Leila Wehbe1,2 , Ashish Vaswani3 , Kevin Knight3 and Tom Mitchell1,2 1 Machine Learning Department, Carnegie Mellon University, Pit

Source URL: emnlp2014.org

Aligning context-based statistical models of language with brain activity during reading Leila Wehbe1,2 , Ashish Vaswani3 , Kevin Knight3 and Tom Mitchell1,2 1 Machine Learning Department, Carnegie Mellon University, Pit

Source URL: www.aclweb.org

Morning wakeup routine 1. Brush hair and teeth; get dressed to shoes1 2. Make bed 3. One load of laundry in washing machine 4. Kids prepped for school 5. Breakfast and quiet time/Bible reading

Source URL: livingrichonless.com