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Descendants of William Cromartie and Ruhamah Doane
This ambitious work chronicles 250 years of the Cromartie family genealogical history. Included in the index of nearly fifty thousand names are the current generations, and all of those preceding, which trace ancestry to our family patriarch, William Cromartie, who was born in 1731 in Orkney, Scotland, and his second wife, Ruhamah Doane, who was born in 1745. Arriving in America in 1758, William Cromartie settled and developed a plantation on South River, a tributary of the Cape Fear near Wilmington, North Carolina. On April 2, 1766, William married Ruhamah Doane, a fifth-generation descendant of a Mayflower passenger to Plymouth, Stephen Hopkins. If Cromartie is your last name or that of on...
Robert Mugabe and the Betrayal of Zimbabwe
Instead of leading his people to the "promised land," Mugabe, the first prime minister of the newly-named Zimbabwe, has amassed a fortune for himself, his family and followers and has presided over the murder, torture and starvation of those who oppose him. This biography offers some explanations for Mugabe's behavior. With the death of his wife in 1992, a moderating influence was lost, and as the years go by, he continues to show himself intolerant of any opposition as he proceeds toward the creation of a one-party state, even though evidence suggests that his country is in terminal decline.
Something about the Author
Contains biographical information and critical essays concerning the works of over 100 authors and illustrators of children's works.
Machine Learning Challenges
This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. 25 papers address three challenges: finding an assessment base on the uncertainty of predictions using classical statistics, Bayesian inference, and statistical learning theory; second, recognizing objects from a number of visual object classes in realistic scenes; third, recognizing textual entailment addresses semantic analysis of language to form a generic framework for applied semantic inference in text understanding.
