نتایج جستجو برای: was better than svm model

تعداد نتایج: 6251935  

Journal: :Evidence-based mental health 2002
Alan C Swann

Patients 340 outpatients who were ≥ 18 years of age (mean age 42 y, 66% women); had a current diagnosis of MDD; and scored ≥ 20 on the Hamilton Depression Rating Scale (HDRS) (mean score 22.8) and ≤ 60 on the Global Assessment of Functioning (mean score 53.6) after a 1 week placebo run in period. Exclusion criteria included a score > 2 on the HDRS suicide item, serious physical or psychiatric d...

Journal: :ACP journal club 2002
Gurinder Luthra P Jay Pasricha

P a t i e n t s 328 patients who were ≥ 18 years of age and had Crohn colitis or ileocolitis in complete remission (Crohn disease activity index [CDAI] ≤ 150) for ≥ 1 month before randomization. Exclusion criteria were receipt of steroid, azathioprine, or other immunosuppressive therapy within 8 weeks of the start of treatment; antibiotic therapy ≥ 1 month; potential for pregnancy or lactation;...

Journal: :Evidence-based mental health 2002
Chris Hawley Tim Dale

Patients 200 physically healthy outpatients who were >18 years of age (mean age 42.4 y, 64% women); had MD (single episode or recurrent) without psychotic features according to DSM-IV for >4 weeks; and scored >20 on the Hamilton Depression Rating Scale (HDRS). Exclusion criteria included current cognitive, post-traumatic stress, eating, or substance use disorders in the past 6 months; panic dis...

2013
Vazeer Mahammood

Groundwater level prediction in a water basin plays a significant role in the management of groundwater resources. Aground water level forecasting system is developed in this study using Support vector Machines (SVM). Further Quantum behaved Particle Swarm Optimization (QPSO) function is employed in this study to determine the SVM parameters. Later, the proposed SVM-QPSO model is used in determ...

this thesis attempts to investigate the effects of prelistening activities on enhancing iranian efl learners` listening comprehension. the present study investigated ways in which learners` background knowledge could be activated in order to enhance their l2 listening comprehension by limiting the number of possible text interpretations prior to listening. the experiments conducted in this study examined the effect of prior knowledge and vocabulary teaching on iranian efl learners listening comprehension. the current study has two purposes: one is to investigate the effect of background knowledge on the second language listening comprehension of iranian intermediates and the other is to determine whether second language is facilitated by the introduction of unknown vocabularies in the form of prelistening activities. to conduct the study different instruments such as listening proficiency test and four listening tests such as pre and posttests were used and various statistical processes and techniques including paired-sample t-test, and analysis of variance (anova) were used. the findings of this study supported all three hypotheses tested. differences were found between the means of preteaching vocabulary variable, the background knowledge activation variable, and mean difference between these two strategies variable. subjects scored higher when the unknown words were taught in advance. likewise, subjects scored higher when they were asked some relevant questions about the topic than on those without them. there was, in addition, a significant difference between the means of preteaching vocabulary strategy and background knowledge activation strategy. in fact, preteaching vocabulary had a better effect in enhancing the students’ listening comprehension, in comparison to background knowledge activation strategy.

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده زبانهای خارجی 1390

this thesis attempts to investigate the effects of prelistening activities on enhancing iranian efl learners` listening comprehension. the present study investigated ways in which learners` background knowledge could be activated in order to enhance their l2 listening comprehension by limiting the number of possible text interpretations prior to listening. the experiments conducted in this stud...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده ادبیات و علوم انسانی دکتر علی شریعتی 1393

this thesis attempts to measure learning styles, self efficacy and intrinsic motivation as predictors of iranian ielts reading comprehension. in order to address this issue, a quantitative study was conducted on some randomly selected intact students at ferdowsi university. these two groups were assigned as they were undergraduate (ba=91) and graduate (ma =74) students; they were all aged betwe...

Journal: :ACP journal club 2006
Bruce N Mayes

M e t h o d s Design: Randomized controlled trial. Allocation: Concealed.* Blinding: Blinded (clinicians and patients).* Follow-up period: 12 months. Setting: 18 Veterans Affairs Medical Centers in the United States. Patients: 593 patients ≥ 65 years of age (mean age 72 y, 96% men) with newly diagnosed epilepsy (≥ 1 seizure in the preceding 3 mo) who were untreated, treated only acutely (< 4 wk...

2012
Yashar Maali Adel Al-Jumaily Leon Laks

In this paper Self-Advising SVM, a new proposed version of SVM, is investigated for sleep apnea classification. Self-Advising SVM tries to transfer more information from training phase to the test phase in compare to the traditional SVM. In this paper Sleep apnea events are classified to central, obstructive or mixed, by using just three signals, airflow, abdominal and thoracic movement, as inp...

Journal: :Journal of dairy science 2007
D Wu S Feng Y He

The aim of this study was to investigate the potential of the infrared spectroscopy technique for nondestructive measurement of fat content in milk powder. Fat is an important component of milk powder. It is very important to be able to detect the fat content in milk powder using a rapid and nondestructive method. Near and mid infrared spectroscopy techniques were used to achieve this purpose. ...

Journal: :CoRR 2013
Osman Hegazy Omar S. Soliman Mustafa Abdul Salam

Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange. The successful prediction of a stock's future price will maximize investor’s gains. This paper proposes a machine learning model to predict stock market price. The proposed algorithm integrates Particle swarm optimization (PSO) and least squ...

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