124,759 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
I titoli azionari quotati SIIQ
No full textChe agli italiani piaccia investire nel mattone non è una novità. Anzi, la proprietà immobiliare è un obiettivo di investimento parallelo se non precedente a quello finanziario. Ciò che invece manca è una vera offerta di servizi di real estate advisory, che consenta di sfruttare tutte potenzialità del patrimonio immobiliare.Il libro illustra le opportunità connesse allo sviluppo di questo tipo di consulenza, analizza le principali tematiche e i fattori che causano una inefficiente o non oculata gestione degli immobili erodendo una componente significativa del rendimento rispetto alle vaste possibilità di ottimizzazione che un approccio fornito da attori qualificati consentirebb
An integrated symbolic/subsymbolic architecture for parsing Italian sentences containing PP-attachment ambiguities
No full textThis paper describes a hybrid (symbolic/connectionist) system that performs PP-attachment disambiguation by taking advantage of three distinguishing features of neutral networks: distributed representation, functional compositionality, and inductive learning. The connectionist part of the system follows all the steps performed by the symbolic parser, and drives the parser's behavior by inducing a bias towards the most semantically plausible attachment choices. The sentence to be parsed is read one word at a time. When the symbolic parser has more than one production to apply, the connectionist module has already developed an inner representation of the sentence and a distribution of probabilities over the possible choices. The parser continues its work according to such a distribution. Copyrigh
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Learning fuzzy decision trees
No full textWe present a recurrent neural network which learns to suggest the next move during the descent along the branches of a decision tree. More precisely, given a decision instance represented by a node in the decision tree, the network provides the degree of membership of each possible move to the fuzzy set >. These fuzzy values constitute the core of the probability of selecting the move out of the set of the children of the current node. This results in a natural way for driving the sharp discrete- state process running along the decision tree by means of incremental methods on the continuous-valued parameters of the neural network. The bulk of the learning problem consists in stating useful links between the local decisions about the next move and the global decisions about the suitability of the final solution. The peculiarity of the learning task is that the network has to deal explicitly with the twofold charge of lighting up the best solution and generating the move sequence that leads to that solution. We tested various options for the learning procedure on the problem of disambiguating natural language sentences
La clientela da private banking, la sua segmentazione, le sue esigenze
No full textI clienti da private banking presentano elementi di specificità peculiari rispetto alla clientela bancaria retail; questi investitori sono in media particolarmente sofisticati e hanno necessità finanziarie troppo complesse ed eterogenee per essere approcciati in modo massivo e indifferenziato. Risulta dunque necessario conoscere e sistematizzare ogni elemento informativo che il gestore di relazione riesce a carpire per poter comprendere a fondo le esigenze del cliente private e soddisfarle con un modello di business che vi si adatti al meglio. La tecnica utilizzata per sistematizzare il patrimonio informativo relativo alla clientela bancaria è la segmentazione, ovvero l’identificazione di cluster di clienti con bisogni e domanda di servizi omogenei
Il private insurance
No full textIl contributo analizza la domanda e l'offerta di prodotti assicurativi sulla vita. Si esaminano in particolare i prodotti vita ad alto contenuto finanziario (prodotti di investimento assicurativo), i prodotti previdenziali e i prodotti di protezione e le problematiche relativa alla corretta pianificazione assicurativa-previdenziale della clientela private
Simulated annealing approach in back propagation
No full textLooking at the training stage of error-backpropagation algorithm as an optimization problem, in this paper we check two ways of embedding simulated annealing to improve the usual gradient descent method for the achievement of good minima of the error function. The first way refers to a continuous state multilayer perceptron (MLP) and it stands for a random selection of the descent direction around the steepest one. The second way concerns binary states MLP where a backpropagation of the right answer from output to input is realized through a Boltzmann machine
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