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Mitsuru Ishizuka - One of the best experts on this subject based on the ideXlab platform.

  • Browsing support by highlighting keywords based on a user s Browsing History
    Systems Man and Cybernetics, 2002
    Co-Authors: Yutaka Matsuo, H Fukuta, Mitsuru Ishizuka
    Abstract:

    We develop a Browsing support system which learns user's interests and highlights keywords based on a user's Browsing History. Monitoring the user's access to the Web enable us to detect "familiar words" for the user. We extract keywords, which are relevant to the familiar words in the current page, and highlight them. The relevancy is measured by the biases of co-occurrence, called IRM (Interest Relevance Measure). Our system consists of three components; a proxy server which monitors access to the Web, a frequency server which stores frequency of words in the accessed Web pages, and a keyword extraction module. Preliminary reports are shown to evaluate the system.

  • Browsing support by hilighting keywords based on a user s Browsing History
    Systems Man and Cybernetics, 2002
    Co-Authors: Yutaka Matsuo, H Fukuta, Mitsuru Ishizuka
    Abstract:

    We develop a Browsing support system which learns wr'a Interests aod blghllghts keyworda based on a user's Browsing bbtory. Monitoring the user's acfess to the Web enable us to detect "famll- iar WO&" for the user. We extract keywords, which relevant to the familiar words In the current page, and highlight them. The relevancy ia measured by the biases of mOcc-nce, called IRM (Interart Ret- evance Measure). Our system conairts of three am- ponents; a proxy sewer which monitors *- to the Web, a frequency sewer whlch stores frequency of words in the a& Web pages, and a keyword ex- traction module. Preliminary reports are shovn to evaluate the system. Kqmds-bravsing aupport, user prolile, keyword extraction, pmxy sewer. I. INTFODUCTION

Roger W Ruess - One of the best experts on this subject based on the ideXlab platform.

  • functional responses of white spruce to snowshoe hare herbivory at the treeline
    PLOS ONE, 2018
    Co-Authors: Justin Olnes, Knut Kielland, Helene Genet, Glenn P Juday, Roger W Ruess
    Abstract:

    Herbivores can modify the rate of shrub and treeline advance. Both direct and indirect effects of herbivory may simultaneously interact to affect the growth rates of plants at this ecotone. We investigated the effect of snowshoe hare herbivory on the height of white spruce at two treeline locations in Alaska, USA. White spruce is expanding its distribution both upwards in elevation and northward in latitude because of climate warming, and snowshoe hares are already present in areas likely to be colonized by spruce. We hypothesized that herbivory would result in browsed individuals having reduced height, suggesting herbivory is a direct, negative effect on spruce treeline advance. We found an interactive effect between Browsing History and spruce age. When young (under 30 years old), individuals that were browsed tended to be taller than unbrowsed individuals. However, older seedlings (over 30 years old) that had been browsed were shorter than unbrowsed individuals of the same age. Hares suppress faster growing individuals that are initially taller by preferentially Browsing them as they emerge above the winter snowpack. This reduced height, in combination with increased mortality associated with Browsing, is predicted to slow the advance of both latitudinal and altitudinal treeline expansions and alter the structure of treeline forests.

Yutaka Matsuo - One of the best experts on this subject based on the ideXlab platform.

  • Browsing support by highlighting keywords based on a user s Browsing History
    Systems Man and Cybernetics, 2002
    Co-Authors: Yutaka Matsuo, H Fukuta, Mitsuru Ishizuka
    Abstract:

    We develop a Browsing support system which learns user's interests and highlights keywords based on a user's Browsing History. Monitoring the user's access to the Web enable us to detect "familiar words" for the user. We extract keywords, which are relevant to the familiar words in the current page, and highlight them. The relevancy is measured by the biases of co-occurrence, called IRM (Interest Relevance Measure). Our system consists of three components; a proxy server which monitors access to the Web, a frequency server which stores frequency of words in the accessed Web pages, and a keyword extraction module. Preliminary reports are shown to evaluate the system.

  • Browsing support by hilighting keywords based on a user s Browsing History
    Systems Man and Cybernetics, 2002
    Co-Authors: Yutaka Matsuo, H Fukuta, Mitsuru Ishizuka
    Abstract:

    We develop a Browsing support system which learns wr'a Interests aod blghllghts keyworda based on a user's Browsing bbtory. Monitoring the user's acfess to the Web enable us to detect "famll- iar WO&" for the user. We extract keywords, which relevant to the familiar words In the current page, and highlight them. The relevancy ia measured by the biases of mOcc-nce, called IRM (Interart Ret- evance Measure). Our system conairts of three am- ponents; a proxy sewer which monitors *- to the Web, a frequency sewer whlch stores frequency of words in the a& Web pages, and a keyword ex- traction module. Preliminary reports are shovn to evaluate the system. Kqmds-bravsing aupport, user prolile, keyword extraction, pmxy sewer. I. INTFODUCTION

Jean-louis Martin - One of the best experts on this subject based on the ideXlab platform.

  • can we reconstruct deer Browsing History and how lessons from gaultheria shallon pursh
    Annals of Forest Science, 2005
    Co-Authors: Bruno Vila, Frédéric Guibal, Franck Torre, Jean-louis Martin
    Abstract:

    Nous avons identifie et analyse les signatures relatives a l'abroutissement du cerf a queue noire (Odocoileus hemionus sitkensis) sur le salal (Gaultheria shallon) et utilise celles-ci pour reconstituer son histoire. L'analyse de la croissance radiale a revele des decroissances brutales probablement liees a des defoliations. La pression et l'histoire d'abroutissement sont le mieux apprehendees par l'occurrence des caracteres anatomiques tels que la forme de la section, la presence de lobes, la forme et la position de la moelle, la presence de bois alteres ou le deficit en jeunes tiges. L'analyse des âges revele que les tiges de salal sont deux fois plus âgees en presence de cerfs (30 versus 16 ans). Sur les iles avec cerf, on observe un deficit de jeunes tiges qui suggere un impact fort du cerf depuis 10 ans dans les sites du sud et de 20 ans au moins dans les sites du nord.

  • can we reconstruct Browsing History and how far back lessons from vaccinium parvifolium smith in rees
    Forest Ecology and Management, 2004
    Co-Authors: Bruno Vila, Frédéric Guibal, Frank Torre, Jean-louis Martin
    Abstract:

    Abstract We assessed the impact of Browsing by black-tailed deer (Odocoileus hemionus sitkensis) on a common long-lived shrub (the red huckleberry, Vaccinium parvifolium) on Haida Gwaii (British Columbia, Canada). We studied how deer impact can be used as a marker of deer abundance and fluctuation and a means to reconstruct the recent History of deer Browsing over a significant section of the archipelago. We compared islands with and without deer to understand processes involved in these changes. We compared shrub features such as number of stems and regenerating sprouts, age and height of stems and stem age-structures between deer-free and deer-affected islands and analysed their spatial and temporal variation. Deer, by Browsing regenerating sprouts, stopped stem replacement. On deer-affected islands the number of stems per individual shrub was 2–4 times lower than on deer-free islands. The number of regenerating sprouts was 8–15 times higher. Stems were, on average, 2–3 times older. There was no variation in these characteristics among deer-free islands. They varied both spatially and temporally among deer-affected islands revealing spatial and temporal variation in deer impact. Deer impact has been prevalent for at least 40–50 years before this study in all sites with deer but one. In the latter, the most distant from the point of introduction, severe impact seemed to date to less than 10 years before this study. On Reef Island, Ramsay Island and Burnaby Island, deer impact was prevalent 10–20 years earlier than on Louise and Haswell Islands, although the two latter were much closer and more easily accessible from the point of introduction. Using independent information, we interpreted this pattern as the result of differences in climate and habitat rather than of a delay in colonisation. Effects of isolation on dispersal, pattern of land use or access to alpine summer range are all likely to affect delay between colonisation and severe impact.

  • Assessing spatial variation in Browsing History by means of fraying scars
    Journal of Biogeography, 2004
    Co-Authors: Bruno Vila, Frédéric Guibal, Franck Torre, Jean-louis Martin
    Abstract:

    Aim We used fraying scars to understand spatial variation in Browsing History. Information on Browsing History is an essential background in studies on the long-term effect of deer Browsing on the flora and fauna and of its variation in space.

H Fukuta - One of the best experts on this subject based on the ideXlab platform.

  • Browsing support by highlighting keywords based on a user s Browsing History
    Systems Man and Cybernetics, 2002
    Co-Authors: Yutaka Matsuo, H Fukuta, Mitsuru Ishizuka
    Abstract:

    We develop a Browsing support system which learns user's interests and highlights keywords based on a user's Browsing History. Monitoring the user's access to the Web enable us to detect "familiar words" for the user. We extract keywords, which are relevant to the familiar words in the current page, and highlight them. The relevancy is measured by the biases of co-occurrence, called IRM (Interest Relevance Measure). Our system consists of three components; a proxy server which monitors access to the Web, a frequency server which stores frequency of words in the accessed Web pages, and a keyword extraction module. Preliminary reports are shown to evaluate the system.

  • Browsing support by hilighting keywords based on a user s Browsing History
    Systems Man and Cybernetics, 2002
    Co-Authors: Yutaka Matsuo, H Fukuta, Mitsuru Ishizuka
    Abstract:

    We develop a Browsing support system which learns wr'a Interests aod blghllghts keyworda based on a user's Browsing bbtory. Monitoring the user's acfess to the Web enable us to detect "famll- iar WO&" for the user. We extract keywords, which relevant to the familiar words In the current page, and highlight them. The relevancy ia measured by the biases of mOcc-nce, called IRM (Interart Ret- evance Measure). Our system conairts of three am- ponents; a proxy sewer which monitors *- to the Web, a frequency sewer whlch stores frequency of words in the a& Web pages, and a keyword ex- traction module. Preliminary reports are shovn to evaluate the system. Kqmds-bravsing aupport, user prolile, keyword extraction, pmxy sewer. I. INTFODUCTION

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