Kirjojen hintavertailu. Mukana 12 377 511 kirjaa ja 12 kauppaa.
Kirja.info

Kirjahaku

Etsi kirjoja tekijän nimen, kirjan nimen tai ISBN:n perusteella.

1000 tulosta hakusanalla Steven L. Kinney

Emanuel Crunchtime for Property

Emanuel Crunchtime for Property

Steven L. Emanuel

Aspen Publishing
2017
nidottu
When it's exam time you need the right information in the right format to study efficiently and effectively. Emanuel(R) CrunchTime is the perfect tool for exam studying. With flowcharts and capsule summaries of major points of law and critical issues, as well as exam tips for identifying common traps and pitfalls, sample exam and essay questions with model answers - you will be prepared for your next big test.Here's why you will need Emanuel(R) CrunchTime to help you ace your exams: Perfect for the visual learner: The flow charts walk you through a series of yes/no questions that can be used to analyze any question on the exam.Featured capsule summaries help you quickly review key concepts not just before the exam, but throughout the semester Exams Tips recap the most commonly tested issues and fact patterns.
Vertaile hintoja
Emanuel Crunchtime for Evidence

Emanuel Crunchtime for Evidence

Steven L. Emanuel

Aspen Publishing
2018
nidottu
When it's exam time you need the right information in the right format to study efficiently and effectively. Emanuel(R) CrunchTime is the perfect tool for exam studying. With flowcharts and capsule summaries of major points of law and critical issues, as well as exam tips for identifying common traps and pitfalls, sample exam and essay questions with model answers - you will be prepared for your next big test.Here's why you will need Emanuel(R) CrunchTime to help you ace your exams: Perfect for the visual learner: The flow charts walk you through a series of yes/no questions that can be used to analyze any question on the exam.Featured capsule summaries help you quickly review key concepts not just before the exam, but throughout the semester Exams Tips recap the most commonly tested issues and fact patterns.
Vertaile hintoja
Approach to Consultations for Patients with Liver Disease, An Issue of Clinics in Liver Disease

Approach to Consultations for Patients with Liver Disease, An Issue of Clinics in Liver Disease

Steven L. Flamm

W B Saunders Co Ltd
2012
sidottu
With very much success in 2009, this topic is being updated again in 2012. Dr. Flamm has invited a group of distinguished hepatologists to provide insight into the assessment of a variety of scenarios where clinical judgment based on experience and published literature is an invaluable addition to the care of individual patients. Articles included in the issue address the following topics: Evaluatio of Elevated Liver Enzymes and Abnormal Liver Panel; Evaluation of Liver Lesions; Chronic HCV; Evaluation of Hepatic Cholestasis; Chronic HBV; Ascites; Fatty Liver; Pruritus in the patient with chronic cholestatic liver disease; Is the patient a candidate for liver transplantation; Care of the cirrhotic patient; Abnormal liver panel in pregnancy; Surgical clearance for the patient with chronic liver disease; Granulomatous Liver Disease; Drug Induced Liver Disease; and Hepatic Encephalopathy.
Vertaile hintoja
Learning with Nested Generalized Exemplars

Learning with Nested Generalized Exemplars

Steven L. Salzberg

Springer-Verlag New York Inc.
2011
nidottu
Machine Learning is one of the oldest and most intriguing areas of Ar­ tificial Intelligence. From the moment that computer visionaries first began to conceive the potential for general-purpose symbolic computa­ tion, the concept of a machine that could learn by itself has been an ever present goal. Today, although there have been many implemented com­ puter programs that can be said to learn, we are still far from achieving the lofty visions of self-organizing automata that spring to mind when we think of machine learning. We have established some base camps and scaled some of the foothills of this epic intellectual adventure, but we are still far from the lofty peaks that the imagination conjures up. Nevertheless, a solid foundation of theory and technique has begun to develop around a variety of specialized learning tasks. Such tasks in­ clude discovery of optimal or effective parameter settings for controlling processes, automatic acquisition or refinement of rules for controlling behavior in rule-driven systems, and automatic classification and di­ agnosis of items on the basis of their features. Contributions include algorithms for optimal parameter estimation, feedback and adaptation algorithms, strategies for credit/blame assignment, techniques for rule and category acquisition, theoretical results dealing with learnability of various classes by formal automata, and empirical investigations of the abilities of many different learning algorithms in a diversity of applica­ tion areas.
Vertaile hintoja
1...89101112...50