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Displaying 1-25 out of 25 total
Graph Neural Networks for Ranking Web Pages
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini
Issue Date:September 2005
pp. 666-672
An artificial neural network model, capable of processing general types of graph structured data, has recently been proposed. This paper applies the new model to the computation of customised page ranks problem in the World Wide Web. The class of customise...
 
Learning to Tag from Logic Constraints in Hyperlinked Environments
Found in: Machine Learning and Applications, Fourth International Conference on
By Claudio Saccà,Michelangelo Diligenti,Marco Gori,Marco Maggini
Issue Date:December 2011
pp. 251-256
This paper presents a novel framework to integrate prior knowledge, represented as a collection of First Order Logic (FOL) clauses, into regularization over discrete domains. In particular, we consider tasks in which a set of items are connected to each ot...
 
Users, Queries and Documents: A Unified Representation for Web Mining
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Michelangelo Diligenti, Marco Gori, Marco Maggini
Issue Date:September 2009
pp. 238-244
The collective feedback of the users of an Information Retrieval system has been proved to be useful in many tasks. A popular approach in the literature is to process the logs stored by Internet Service Providers (ISP), Intranet proxies or Web search engin...
 
A Fully Automatic Crossword Generator
Found in: Machine Learning and Applications, Fourth International Conference on
By Leonardo Rigutini, Michelangelo Diligenti, Marco Maggini, Marco Gori
Issue Date:December 2008
pp. 362-367
This paper presents a software system that is able to generate crosswords with no human intervention including definition generation and crossword compilation. In particular, the proposed system crawls relevant sources of the Web, extracts definitions from...
 
Graph matching using Random Walks
Found in: Pattern Recognition, International Conference on
By Marco Gori, Marco Maggini, Lorenzo Sarti
Issue Date:August 2004
pp. 394-397
In this paper we propose a graph matching algorithm which uses random walks to compute topological features for each node, in order to identify candidate pairs of corresponding nodes in the two graphs. The algorithm automatically adapts the number of topol...
 
Detecting Near-Replicas on the Web by Content and Hyperlink Analysis
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Ernesto Di Iorio, Michelangelo Diligenti, Marco Gori, Marco Maggini, Augusto Pucci
Issue Date:October 2003
pp. 249
The presence of near-replicas of documents is very common on the Web. Documents may be replicated completely or partially for different reasons (versions, mirrors, etc.), or the same resource can be associated to different URLs (dynamically generated pages...
 
APEX An Adaptive Visual Information Retrieval System
Found in: Document Analysis and Recognition, International Conference on
By Ciro de Mauro,Marco Gori,Marco Maggini
Issue Date:September 2001
pp. 0898
Abstract: Given a user's visual query, most Visual Information Retrieval (VIR) systems rank the images in the database according to a predefined measure of similarity and return the most similar ones. We propose an adaptive VIR system that uses a retrieval...
 
Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks
Found in: IEEE Transactions on Knowledge and Data Engineering
By Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda
Issue Date:April 1995
pp. 340-346
<p><it>Abstract</it>—We propose a novel unified approach for integrating explicit knowledge and learning by example in recurrent networks. The explicit knowledge is represented by automaton rules, which are directly injected into the conn...
 
Exact and Approximate Graph Matching Using Random Walks
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Marco Gori, Marco Maggini, Lorenzo Sarti
Issue Date:July 2005
pp. 1100-1111
In this paper, we propose a general framework for graph matching which is suitable for different problems of pattern recognition. The pattern representation we assume is at the same time highly structured, like for classic syntactic and structural approach...
 
MumbleSearch Extraction of High Quality Web information for SME
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Nicola Baldini, Marco Gori, Marco Maggini
Issue Date:September 2004
pp. 757-760
Although search engines are playing a crucial role for the retrieval of information from the Web, they cannot guarantee the quality required for most relevant business activities as well as for many top-level research projects. In this paper we present Mum...
 
A Unified Probabilistic Framework for Web Page Scoring Systems
Found in: IEEE Transactions on Knowledge and Data Engineering
By Michelangelo Diligenti, Marco Gori, Marco Maggini
Issue Date:January 2004
pp. 4-16
<p><b>Abstract</b>—The definition of efficient page ranking algorithms is becoming an important issue in the design of the query interface of Web search engines. Information flooding is a common experience especially when broad topic quer...
 
A Hybrid Model for the Prediction of the Linguistic Origin of Surnames
Found in: IEEE Transactions on Knowledge and Data Engineering
By Patrizia Bonaventura, Marco Gori, Marco Maggini, Franco Scarselli, Jianqing Sheng
Issue Date:May 2003
pp. 760-763
<p><b>Abstract</b>—The prediction of the linguistic origin of surnames is a basic functionality required in the design of high-quality multilanguage speech synthesizers. The assignment of a given string representing a surname to a specifi...
 
Kernel Methods for Minimum Entropy Encoding
Found in: Machine Learning and Applications, Fourth International Conference on
By Stefano Melacci,Marco Gori
Issue Date:December 2011
pp. 352-357
Following the basic principles of Information-Theoretic Learning (ITL), in this paper we propose Minimum Entropy Encoders (MEEs), a novel approach to data clustering. We consider a set of functions that project each input point onto a minimum entropy confi...
 
Scalable statistical learning: A modular bayesian/markov network approach
Found in: Neural Networks, IEEE - INNS - ENNS International Joint Conference on
By Antonino Freno, Edmondo Trentin, Marco Gori
Issue Date:June 2009
pp. 890-897
In this paper we propose a hybrid probabilistic graphical model for pseudo-likelihood estimation in high-dimensional domains. The model is based on Bayesian networks and Markov random fields. On the one hand, we prove that the proposed model is more expres...
 
Research Paper Recommender Systems: A Random-Walk Based Approach
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Marco Gori, Augusto Pucci
Issue Date:December 2006
pp. 778-781
Every day researchers from all over the world have to filter the huge mass of existing research papers with the crucial aim of finding out useful publications related to their current work. In this paper we propose a research paper recommending algorithm b...
 
Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification
Found in: Data Mining, IEEE International Conference on
By Milos Kovacevic, Michelangelo Diligenti, Marco Gori, Veljko Milutinovic
Issue Date:December 2002
pp. 250
Extracting and processing information from Web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Common approach in the extraction process is to represent a page as a
 
Artificial Neural Networks for Document Analysis and Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Simone Marinai, Marco Gori, Giovanni Soda
Issue Date:January 2005
pp. 23-35
Artificial neural networks have been extensively applied to document analysis and recognition. Most efforts have been devoted to the recognition of isolated handwritten and printed characters with widely recognized successful results. However, many other d...
 
Hidden Tree Markov Models for Document Image Classification
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Michelangelo Diligenti, Paolo Frasconi, Marco Gori
Issue Date:April 2003
pp. 519-523
<p><b>Abstract</b>—Classification is an important problem in image document processing and is often a preliminary step toward recognition, understanding, and information extraction. In this paper, the problem is formulated in the framewor...
 
Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations
Found in: IEEE Transactions on Computers
By Monica Bianchini, Stefano Fanelli, Marco Gori
Issue Date:July 2001
pp. 689-698
<p><b>Abstract</b>—We propose solving nonlinear systems of equations by function optimization and we give an optimal algorithm which relies on a special canonical form of gradient descent. The algorithm can be applied under certain assump...
 
Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains
Found in: IEEE Transactions on Knowledge and Data Engineering
By Paolo Frasconi, Marco Gori, Alessandro Sperduti
Issue Date:March 2001
pp. 145-147
No summary available.
 
Data Categorization Using Decision Trellises
Found in: IEEE Transactions on Knowledge and Data Engineering
By Paolo Frasconi, Marco Gori, Giovanni Soda
Issue Date:September 1999
pp. 697-712
<p><b>Abstract</b>—We introduce a probabilistic graphical model for supervised learning on databases with categorical attributes. The proposed belief network contains hidden variables that play a role similar to nodes in decision trees an...
 
Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification?
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Marco Gori, Franco Scarselli
Issue Date:November 1998
pp. 1121-1132
<p><b>Abstract</b>—This paper discusses the ability of multilayer perceptrons (MLPs) to model the probability distribution of data in typical pattern recognition and verification problems. It is proven that multilayer perceptrons with sig...
 
INFORMys: A Flexible Invoice-Like Form-Reader System
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Francesca Cesarini, Marco Gori, Simone Marinai, Giovanni Soda
Issue Date:July 1998
pp. 730-745
<p><b>Abstract</b>—In this paper, we describe a flexible form-reader system capable of extracting textual information from accounting documents, like invoices and bills of service companies. In this kind of document, the extraction of som...
 
Web page scoring systems for horizontal and vertical search
Found in: Proceedings of the eleventh international conference on World Wide Web (WWW '02)
By Marco Gori, Marco Maggini, Michelangelo Diligenti
Issue Date:May 2002
pp. 508-516
Page ranking is a fundamental step towards the construction of effective search engines for both generic (horizontal) and focused (vertical) search. Ranking schemes for horizontal search like the PageRank algorithm used by Google operate on the topology of...
     
Scalable pseudo-likelihood estimation in hybrid random fields
Found in: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '09)
By Antonino Freno, Edmondo Trentin, Marco Gori
Issue Date:June 2009
pp. 1-24
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such as to prevent state-of-the-art statistical learning techniques from delivering...
     
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