My research interests primarily lie at the interface of computational learning theory and human language learning. My dissertation focuses on computational models of human language learning, exploring the mechanism of language acquisition given the boundary conditions provided by linguistic

grate chemical, mechanical, cul-tural and biological techniques to control yellow starthistle, a pro-lific weed now infesting between 10 million and 15 million acres in California. With many options available to land managers, devel-oping a long-term, strategic man-agement plan most suitable to a specific area can be complicated. It requires careful consideration of the advantages and disadvan-tages of each option and how best to incorporate appropriate ones into an effective program. Man-agement strategies include timely mowings, grazing, clover plantings, biological control in-sects, prescribed burning and se-lective applications of herbicides. In addition to new developments in the management of yellow starthistle, public awareness of in-vasive weed issues has translated into major legislative changes that should encourage and assist pri-vate and public landowners and managers to initiate long-term programs to prevent and manage invasive weeds, particularly yel-low starthistle. Integrated strategies offer site-specific control of yellow starthistle

Many individuals involved in the projects described here spent time patiently explaining their activities to me, putting together written descriptions for me to work from, and reviewing early drafts of my (often muddled) writeups of their research. Thanks are due all of them, but responsibility

January 2005, the BMS published three different articles using four different methods to analyze the abstracts of presentations at the First Congress of the Association Française de Sociologie (AFS). Here a preliminary analysis with two différent methods is done of the abstracts of presentations made at the Second Congress of the AFS. French Sociology, Text Analysis, Alceste, Trideux. Résumé: En janvier 2005, le BMS a publié trois articles différents employant quatre méthodes d’analyse différent pour étudier les résumés de présentations faites lors du première congrès de l’Association Française de Sociologie (AFS). Ici, une première analyse est faite avec deux méthodes différentes des résumés de présentations faites lors du second congrès de l’AFS. Sociologie française, Analyse textuelle, Alceste, Trideux. On peut estimer à 1.345 le nombre de sociologues qui ont fait parvenir 1.191 résumés de communications, le décalage provenant des communications présentées à deux, trois et parfois... six sessions! Si l’on prend pour hypothèse optimiste que tous se sont ddplacds, le livret des actes du colloque donne un image à la fois des sociologues mobilisés par 1’AFS et des thèmes qu’ils auront proposd d’aborder (les ddfaillances, non recensdes de mani6re systématique, ont pu aller jusqu’A une ou deux par session). II s’est agi d’un Congr6s à rayonnement national, les dtablissements de rattachement se partageant pour moitid entre Paris-Ile-de-France et la province, outre 93 intervenants se ddclarant situds à 1’6tranger. En second lieu, le Congr~s a rdussi une nouvelle fois le pari de rdunir des sociologues d’horizons et de statuts diffdrents, en particulier à l’égard des 426 doctorants qui ont représenté 31,7 % des at PENNSYLVANIA STATE UNIV on February 18, 2016bms.sagepub.comDownloaded from

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s’étaient-ils trompés?

ltaic (PV) electricity production from an intermittent Since 1978, compressed air energy storage (CAES) compressed air can then be released on demand to the CAES plant’s turbo-generator set to generate premium value electricity. The first CAES plant was built in broadened in the ittency of wind g with Cavallo,2 nomic feasibility as turbine (GT) oduction.3–8 The ate underground o the wind farms and shape the

Support vector machines (SVMs) were originally designed for binary classification. How to effectively extend it for multiclass classification is still an ongoing research issue. Several methods have been proposed where typically we construct a multiclass classifier by combining several binary

This paper provides an overview of research and development activities in the field of autonomous agents and multi-agent systems. It aims to identify key concepts and applications, and to indicate how they relate to one-another. Some historical context to the field of agent-based computing

Context-aware computing is a mobile computing paradigm in which applications can discover and take advantage of contextual information (such as user location, time of day, nearby people and devices, and user activity). Since it was proposed about a decade ago, many researchers have studied