نتایج جستجو برای: jean watson theories

تعداد نتایج: 138367  

1997
Valeria Mihalache Arto Salomaa

D0L systems constitute the simplest and most widely studied type of Lindenmayer systems. They have the remarkable property of generating their language as a (word) sequence and, consequently, are very suitable for modeling growth properties. In this paper a new type of D0L systems is introduced, where the parallelism presented in L systems is combined with the paradigm of (Watson-Crick) complem...

2007
Steven Finch

Each variable X is a new, independent Uniform [0, 1] random number. For example, T = ∅ with probability 1−p, T = (∅, ∅) with probability p(1−p)2, and T = ((∅, ∅), ∅) with probability p2(1− p). The number of vertices N is equal to twice the number of left parentheses (parents) in the expression for T , plus one. Equivalently, N is twice the number of ∅s (leaves), minus one. It can be shown that ...

2016

Description of task: The MNIST, a database of Handwritten Digit Classification, (possibly) the most famous dataset in the field of Machine Learning is studied using different classification techniques on it and did a comparative analysis to reproduce the best possible accuracy on it. The standard algorithms were improved by applying various techniques such as extracting features via feature ext...

2002
John G. Watson Judith C. Chow Douglas H. Lowenthal Susanne V. Hering

Aerosol size distributions are presented for a winter intensive study at the Fresno Supersite. The size distributions were consistent with and predictive for continuous PM2.5 measured by beta attenuation. They varied temporally with respect to source type and intensity, with the smallest mean diameters associated with high NOx concentrations during weekday morning rush hours. Conversely, small ...

Journal: :IBM Journal of Research and Development 2012
Michael C. McCord J. William Murdock Branimir Boguraev

M. C. McCord J. W. Murdock B. K. Boguraev Two deep parsing components, an English Slot Grammar (ESG) parser and a predicate-argument structure (PAS) builder, provide core linguistic analyses of both the questions and the text content used by IBM Watsoni to find and hypothesize answers. Specifically, these components are fundamental in question analysis, candidate generation, and analysis of pas...

2000
Alan Schwartz Joel Watson

Alan Schwartz and Joel Watson January 2000

2013
Pablo Duboue Jing He Jian-Yun Nie

We describe our hunter-gartherer system for the NTCIR10 1CLICK-2 task. We inspire ourselves on the DeepQA framework looking to adapt it for the 1CLICK task. Several techniques can be integrated naturally in this framework. The hunter component generates candidates based on the passage retrieval for the original query, the gartherer component collects evidence for each candidate and score them b...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بوعلی سینا - دانشکده علوم پایه 1389

هدف این تحقیق معرفی موقعیت های کنونی و پراکندگی گونه های کاشته شده و خودروی جنس تاج خروس در بیوتوپ های مختلف همدان و محدوده گنبد- مینودشت و مقایسه گونه های این دو منطقه از نظر تنوع گونه ای بود. گونه های این جنس از بیوتوپ های مختلف دو محدوده همدان و گنبد - مینودشت، طی تابستان و پاییز 1388 جمع آوری و شناسایی شدند. نتایج نشان دادند که هفت گونه خودروی تاج خروس blitoides s watson, a. viridis l., a. ...

Journal: :Perception & psychophysics 2001
M Donk J Theeuwes

In a standard visual marking experiment, observers are presented with a display containing one set of elements (old elements) followed after a certain time interval by a second set of elements (new elements). The task of observers is to search for a target among the new elements. Typically, the time to find the target depends only on the number of new elements in the display and not on the numb...

Journal: :Theor. Comput. Sci. 2006
Elena Czeizler Eugen Czeizler

Parallel communicating Watson-Crick automata systems were introduced in [2] as possible models of DNA computations. This combination of Watson-Crick automata and parallel communicating systems comes as a natural extension due to the new developments in DNA manipulation techniques. It is already known, see [5], that for Watson-Crick finite automata, the complementarity relation plays no active r...

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function paginate(evt) { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term pg=parseInt(evt.target.text) var data={ "year":filter_year, "term":term, "pgn":pg } filtered_res=post_and_fetch(data,url) window.scrollTo(0,0); } function update_search_meta(search_meta) { meta_place=document.getElementById("search_meta_data") term=search_meta.term active_pgn=search_meta.pgn num_res=search_meta.num_res num_pages=search_meta.num_pages year=search_meta.year meta_place.dataset.term=term meta_place.dataset.page=active_pgn meta_place.dataset.num_res=num_res meta_place.dataset.num_pages=num_pages meta_place.dataset.year=year document.getElementById("num_result_place").innerHTML=num_res if (year !== "unfilter"){ document.getElementById("year_filter_label").style="display:inline;" document.getElementById("year_filter_place").innerHTML=year }else { document.getElementById("year_filter_label").style="display:none;" document.getElementById("year_filter_place").innerHTML="" } } function update_pagination() { search_meta_place=document.getElementById('search_meta_data') num_pages=search_meta_place.dataset.num_pages; active_pgn=parseInt(search_meta_place.dataset.page); document.getElementById("pgn-ul").innerHTML=""; pgn_html=""; for (i = 1; i <= num_pages; i++){ if (i===active_pgn){ actv="active" }else {actv=""} pgn_li="
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  • "; pgn_html+=pgn_li; } document.getElementById("pgn-ul").innerHTML=pgn_html var pgn_links = document.querySelectorAll('.mypgn'); pgn_links.forEach(function(pgn_link) { pgn_link.addEventListener('click', paginate) }) } function post_and_fetch(data,url) { showLoading() xhr = new XMLHttpRequest(); xhr.open('POST', url, true); xhr.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var resp = xhr.responseText; resp_json=JSON.parse(resp) resp_place = document.getElementById("search_result_div") resp_place.innerHTML = resp_json['results'] search_meta = resp_json['meta'] update_search_meta(search_meta) update_pagination() hideLoading() } }; xhr.send(JSON.stringify(data)); } function unfilter() { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":"unfilter", "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } function deactivate_all_bars(){ var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(bar) { bar.dataset.active = false bar.style = "stroke:#71a3c5;" }) } year_chart.on("created", function() { var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(check) { check.addEventListener('click', checkIndex); }) }); function checkIndex(event) { var yrchart = document.querySelectorAll('.ct-bar'); var year_bar = event.target if (year_bar.dataset.active == "true") { unfilter_res = unfilter() year_bar.dataset.active = false year_bar.style = "stroke:#1d2b3699;" } else { deactivate_all_bars() year_bar.dataset.active = true year_bar.style = "stroke:#e56f6f;" filter_year = chart_data['labels'][Array.from(yrchart).indexOf(year_bar)] url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":filter_year, "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } } function showLoading() { document.getElementById("loading").style.display = "block"; setTimeout(hideLoading, 10000); // 10 seconds } function hideLoading() { document.getElementById("loading").style.display = "none"; } -->