John Elder – författare

A landmark work in the burgeoning field of literary ecology, Imagining the Earth explores the ways in which our attitudes toward nature are mirrored in and influenced by poetry. In the work of some of our most widely read poets, says John Elder, one can discern a resurgent vision of humanity in harmony with the rest of the natural order.To show us the power of poetry to identify, interpret, and celebrate a wide range of issues related to nature and our place in it, Elder uses numerous examples of works by Gary Snyder, Wendell Berry, A. R. Ammons, Denise Levertov, and William Everson. Elder places these poets within a cultural tradition flowing from William Wordsworth through Alfred North Whitehead, T. S. Eliot, and Robinson Jeffers, and uses their poems to illuminate the relationships between culture and wilderness, imagination and landscape, and science and poetry. Elder's commentaries are interlinked with two remarkable essays in which he describes his ow

The North Woods tradition of making maple syrup serves as an illuminating backdrop for John Elder’s reflections on nature, literature, playfulness, and fatherhood, as he builds a sugaring house with his sons.The tail end of the sugaring season in New England is called the “frog run,” when pools of snowmelt teem with frogs and the last run of sap good for making syrup flows from the maple trees. For John Elder, a longtime resident of Vermont, a professor of English, and a man at midlife, this moment is a metaphor of loss and resurgence.In The Frog Run, Elder describes how he found a way to balance his passions for literature and for the outdoors by building a sugarhouse with his sons in the Vermont woods. For Elder, who also writes in this book about the resurgence of New England forests and about his life as a reader—moving from the game of Go to the Psalms and Bashō—the frog run is a time to savor and celebrate the fleeting beauties of his family’s place on earth.Moving and elegant, The Frog Run is a testimony to the value of embracing what seems lost.

Table of Contents: Ensembles Discovered / Predictive Learning and Decision Trees / Model Complexity, Model Selection and Regularization / Importance Sampling and the Classic Ensemble Methods / Rule Ensembles and Interpretation Statistics / Ensemble Complexity