This volume provides in-depth exploration of the issues of labeling and roots, with a balance of empirical and conceptual/theoretical analyses. The papers explore key questions that must ultimately be addressed in the development of generative theories: how do theories of labels and roots relate to syntax-internal computation, to semantics, to morphology, and to phonology?
This volume provides in-depth exploration of the issues of labeling and roots, with a balance of empirical and conceptual/theoretical analyses. The papers explore key questions that must ultimately be addressed in the development of generative theories: how do theories of labels and roots relate to syntax-internal computation, to semantics, to morphology, and to phonology?
The root system is a vital part of the plant and therefore understanding roots and their functioning is key to agricultural, plant and soil scientists. In Plant Roots Professor Peter Gregory brings together recent developments in techniques and an improved understanding of plant and soil interactions to present a comprehensive look at this important relationship, covering: Root response to, and modification of, soils Genetic control of roots’ responses to the environment Use of modern techniques in imaging, molecular biology and analytical chemistry Practical exploitation of root characters This book will be a vital tool for plant, crop, soil and agricultural scientists, plant physiologists, environmental scientists, ecologists and hydrologists. It will be a valuable addition to libraries in universities, agricultural colleges and research establishments where these subjects are studied and taught.
This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the 12th International Conference on Discovery Science, DS 2009. The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 60 submissions. The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning. The volume also contains abstracts of the invited talks: Sanjoy Dasgupta, The Two Faces of Active Learning; Hector Geffner, Inference and Learning in Planning; Jiawei Han, Mining Heterogeneous; Information Networks By Exploring the Power of Links, Yishay Mansour, Learning and Domain Adaptation; Fernando C.N. Pereira, Learning on the Web.
Roots represent half of the plant body – and arguably the more interesting half. Despite its obvious importance for the whole plant, until recently our knowledge of the root apparatus was very limited, mostly due to the inadequacy of the techniques available. Recent advances in the visualization and measurement of roots have resulted in significant progress in our understanding of root architecture, growth and behaviour. In this book international experts highlight the most advanced techniques, both lab and field methods, and discuss them in detail. Measuring Roots combines academic and practical aspects of this topic, making it a universal handbook for all researchers and others interested in root-measuring methods.
In its 114th year, Billboard remains the world's premier weekly music publication and a diverse digital, events, brand, content and data licensing platform. Billboard publishes the most trusted charts and offers unrivaled reporting about the latest music, video, gaming, media, digital and mobile entertainment issues and trends.
A complete teaching guide with hands-on laboratories, this book is edited by two of the leading experts in the field. The text develops a working knowledge of the principles of plant propagation, as they apply in temperate and tropical environments. In addition to presenting the essential fundamentals, this carefully conceived w
This book investigates the nature and properties of roots, the core elements of word meaning. In particular, chapters examine the interaction of roots with syntactic structure, and the role of their semantic and morpho-phonological properties in that interaction. Issues addressed in the book include the semantics and phonology of roots in isolation and in context; the categorial specification of roots; and the role of phases in word formation. Internationally recognized scholars approach these topics from a variety of theoretical backgrounds, drawing on data from languages including German, Hebrew, and Modern Greek. The book will be of interest to linguistics students and researchers of all theoretical persuasions from graduate level upwards.
This is the fourth and final volume of papers from a series of workshops called "Computational Learning Theory and Ǹatural' Learning Systems." The purpose of the workshops was to explore the emerging intersection of theoretical learning research and natural learning systems. The workshops drew researchers from three historically distinct styles of learning research: computational learning theory, neural networks, and machine learning (a subfield of AI). Volume I of the series introduces the general focus of the workshops. Volume II looks at specific areas of interaction between theory and experiment. Volumes III and IV focus on key areas of learning systems that have developed recently. Volume III looks at the problem of "Selecting Good Models." The present volume, Volume IV, looks at ways of "Making Learning Systems Practical." The editors divide the twenty-one contributions into four sections. The first three cover critical problem areas: 1) scaling up from small problems to realistic ones with large input dimensions, 2) increasing efficiency and robustness of learning methods, and 3) developing strategies to obtain good generalization from limited or small data samples. The fourth section discusses examples of real-world learning systems. Contributors : Klaus Abraham-Fuchs, Yasuhiro Akiba, Hussein Almuallim, Arunava Banerjee, Sanjay Bhansali, Alvis Brazma, Gustavo Deco, David Garvin, Zoubin Ghahramani, Mostefa Golea, Russell Greiner, Mehdi T. Harandi, John G. Harris, Haym Hirsh, Michael I. Jordan, Shigeo Kaneda, Marjorie Klenin, Pat Langley, Yong Liu, Patrick M. Murphy, Ralph Neuneier, E.M. Oblow, Dragan Obradovic, Michael J. Pazzani, Barak A. Pearlmutter, Nageswara S.V. Rao, Peter Rayner, Stephanie Sage, Martin F. Schlang, Bernd Schurmann, Dale Schuurmans, Leon Shklar, V. Sundareswaran, Geoffrey Towell, Johann Uebler, Lucia M. Vaina, Takefumi Yamazaki, Anthony M. Zador.