نتایج جستجو برای: any wrong decision

تعداد نتایج: 1040875  

Journal: :The Journal of Thoracic and Cardiovascular Surgery 2021

Journal: :International Journal of Reconfigurable & Embedded Systems (IJRES) 2021

As the technology grows, tendency to increase data rate also increases. Clocks with higher frequencies have be generated meet increased rate. Any mismatch between clock and will lead capture of wrong data. Hence performing timing analysis for any design validate correct plays a major role in System on chip. This paper explains procedure followed perform mixed-signal design.

Journal: :فلسفه و کلام اسلامی 0
سمیه ربیعی پژوهشگر و مؤلف فرهنگستان زبان فارسی حمیدرضا ضیائی استادیار و مدیر روابط بین الملل دانشگاه.

one of the most significant issues in meta–ethics is moral realism, which has been criticized so much. one of the main criticisms of it has been offered by j.l. mackie. he believes that moral properties depend upon our feelings and emotions and they don't refer to reality; so, they have no causal explanation and cannot give us any knowledge. therefore any judgment about moral properties is...

Journal: :SIAM J. Comput. 1994
Uriel Feige Prabhakar Raghavan David Peleg Eli Upfal

This paper studies the depth of noisy decision trees in which each node gives the wrong answer with some constant probability. In the noisy Boolean decision tree model, tight bounds are given on the number of queries to input variables required to compute threshold functions, the parity function and symmetric functions. In the noisy comparison tree model, tight bounds are given on the number of...

Journal: :زن در توسعه و سیاست 0
حسن حاله استادیار گروه مهندسی صنایع، دانشکده فنی، دانشگاه تهران احمد ماکویی استادیار دانشکده مهندسی صنایع، دانشگاه علم و صنعت ایران آزاده دباغی کارشناس ارشد مهندسی صنایع (سیستم های اقتصادی اجتماعی) دانشگاه تهران حشمت السادات معینی¬فر استادیار مرکز مطالعات و تحقیقات زنان دانشگاه تهران

making decision has become one of the most challenging responsibilities of managers in recent decades. finding the optimum solution for multiple criteria decision making problems is complicated. notably, multiplicity of decision making indices accompanied by variability in quantitative and qualitative measures aggregates the complexity of decisions. operations research (or) and multiple criteri...

2004
Peter J. Tan David L. Dowe

We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MML coding as an objective (goodness-of-fit) function on model selection and searches with a simple evolution strategy. We test our multivariate tree inference scheme on UCI machine learning repository data sets and com...

2012
Jordi Brandts Valeska Groenert Christina Rott

We conduct a laboratory experiment to study how advice affects the gender gap in the entry into a real-effort tournament. Our experiment is motivated by the concerns raised by approaching the gender gap through affirmative action. Advice is given by subjects who have already had some experience with the participation decision. We show that advice improves the entry decision of subjects, in that...

Journal: :Management Science 2015
Jordi Brandts Valeska Groenert Christina Rott

We conduct a laboratory experiment to study how advice affects the gender gap in the entry into a real-effort tournament. Our experiment is motivated by the concerns raised by approaching the gender gap through affirmative action. Advice is given by subjects who have already had some experience with the participation decision. We show that advice improves the entry decision of subjects, in that...

Journal: :CoRR 2017
Yuval Peres Miklós Z. Rácz Allan Sly Izabella Stuhl

It is well known that sequential decision making may lead to information cascades. That is, when agents make decisions based on their private information, as well as observing the actions of those before them, then it might be rational to ignore their private signal and imitate the action of previous individuals. If the individuals are choosing between a right and a wrong state, and the initial...

2005
Lorenzo Carlucci Sanjay Jain Efim B. Kinber Frank Stephan

The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of algorithmic learning? Returning to wrong conjectures complements the paradigm of U-shaped learning [3,7,9,24,29] when a learner returns to old correct conjectures. We explore our problem for classical models of learning in the limit from positive data: explanatory learning (when a le...

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