Robert Cavill Wofinden was born in the West Riding village of Greasbro on 25th January 1914. From Rotherham Grammar School he won a county major scholarship to St. Mary's Hospital, where his prizewinning notoriety was the despair of his peers. He was a'so a keen sportsman: a cricketer and golfer of parts, and soccer captain of St. Mary's. He graduated with honours as Alexander Fleming Prizewinn...

Inductive inference is the process of extracting general rules from specific observations. This problem also arises in the analysis of biological networks, such as genetic regulatory networks, where the interactions are complex and the observations are incomplete. A typical task in these problems is to extract general interaction rules as combinations of Boolean covariates, that explain a measu...

The development of natural language interfaces (NLI's) for databases has been a challenging problem in natural language processing (NLP) since the 1970's. The need for NLI's has become more pronounced due to the widespread access to complex databases now available through the Internet. A challenging problem for empirical NLP is the automated acquisition of NLI's from training examples. We prese...

7253 | P a g e C o u n c i l f o r I n n o v a t i v e R e s e a r c h A u g u s t , 2 0 1 6 w w w . c i r w o r l d . c o m POWER EFFICIENT TASK SCHEDULING MECHANISM IN CLOUD ENVIRONMENT: A REVIEW Abhilasha , Dr. Anupama Gupta (2) (1) Research Scholar, Department of Computer Engineering, LLRIET, Moga. [email protected] (2) H.O.D, Department of Computer Science & Engineering, LLRIET, Mog...

This paper presents an approach that integrates notions and techniques from two distinct fields of study —namely inductive learning and argumentation in multiagent systems (MAS). We will first discuss inductive learning and the role argumentation plays in multiagent inductive learning. Then we focus on how inductive learning can be used to realize argumentation in MAS based on empirical grounds...

This paper suggests that it may be easier to learn several hard tasks at one time than to learn these same tasks separately. In effect, the information provided by the training signal for each task serves as a domain-specific inductive bias for the other tasks. Frequently the world gives us clusters of related tasks to learn. When it does not, it is often straightforward to create additional ta...

Previous work suggests that inductive and deductive reasoning may be accomplished by different processes. Here, we examine whether different phenomena of inductive reasoning, previously explained in the same way, may rely on different types of processes. In Experiment 1 we show that trials which examine sensitivity to sample size in inductive reasoning have greater effects on secondary task per...

BACKGROUND The effects of inductive hyperthermia on lung cancer have yet to be fully investigated. Magnetic nanoparticles used in inductive hyperthermia are made-to-order and expensive. This study was performed to investigate the use of ferucarbotran in inductive hyperthermia and to clarify whether inductive hyperthermia using ferucarbotran promotes antitumor effects in vivo using a lung cancer...

this article reports on the findings of a study that investigated the impact of manipulating task performance conditions on listening task performance by learners of english as a foreign language (efl). the study was designed to explore the effects of changing complexity dimensions on listening task performance and to achieve two aims: to see how listening comprehension task performance was aff...

The task of inductive learning from examples places constraints on the representation of training instances and concepts. These constraints are different from, and often incompatible with, the constraints placed on the representation by the performance task. This incompatibility explains why previous researchers have found it so difficult to construct good representations for inductive learning...