1.

Record Nr.

UNINA9910144913103321

Titolo

Machine Learning: ECML-98 [[electronic resource] ] : 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, 1998, Proceedings / / edited by Claire Nedellec, Celine Rouveirol

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998

ISBN

3-540-69781-0

Edizione

[1st ed. 1998.]

Descrizione fisica

1 online resource (XIV, 426 p.)

Collana

Lecture Notes in Artificial Intelligence ; ; 1398

Disciplina

006.3/1

Soggetti

Artificial intelligence

Algorithms

Artificial Intelligence

Algorithm Analysis and Problem Complexity

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

Learning in agent-oriented worlds -- Naive (Bayes) at forty: The independence assumption in information retrieval -- Learning verbal transitivity using loglinear models -- Part-of-speech tagging using decision trees -- Inference of finite automata: Reducing the search space with an ordering of pairs of states -- Automatic acquisition of lexical knowledge from sparse and noisy data -- A normalization method for contextual data: Experience from a large-scale application -- Learning to classify x-ray images using relational learning -- ILP experiments in detecting traffic problems -- Simulating children learning and explaining elementary heat transfer phenomena: A multistrategy system at work -- Bayes optimal instance-based learning -- Bayesian and information-theoretic priors for Bayesian network parameters -- Feature subset selection in text-learning -- A monotonic measure for optimal feature selection -- Inducing models of human control skills -- God doesn't always shave with Occam's razor — Learning when and how to prune -- Error estimators for pruning regression trees -- Pruning decision trees with misclassification costs -- Text categorization with Support Vector Machines: Learning with many relevant features -- A short note about the application of



polynomial kernels with fractional degree in Support Vector Learning -- Classification learning using all rules -- Improved pairwise coupling classification with correcting classifiers -- Experiments on solving multiclass learning problems by n 2-classifier -- Combining classifiers by constructive induction -- Boosting trees for cost-sensitive classifications -- Naive bayesian classifier committees -- Batch classifications with discrete finite mixtures -- Induction of recursive program schemes -- Predicate invention and learning from positive examples only -- An inductive logic programming framework to learn a concept from ambiguous examples -- First-order learning for Web mining -- Explanation-based generalization in game playing: Quantitative results -- Scope classification: An instance-based learning algorithm with a rule-based characterisation -- Error-correcting output codes for local learners -- Recursive lazy learning for modeling and control -- Using lattice-based framework as a tool for feature extraction -- Determining property relevance in concept formation by computing correlation between properties -- A buffering strategy to avoid ordering effects in clustering -- Coevolutionary, distributed search for inducing concept descriptions -- Continuous mimetic evolution -- A host-parasite genetic algorithm for asymmetric tasks -- Speeding up Q(?)-learning -- Q-learning and redundancy reduction in classifier systems with internal state -- Composing functions to speed up reinforcement learning in a changing world -- Theoretical results on reinforcement learning with temporally abstract options -- A general convergence method for Reinforcement Learning in the continuous case -- Interpretable neural networks with BP-SOM -- Convergence rate of minimization learning for neural networks.

Sommario/riassunto

This book constitutes the refereed proceedings of the 10th European Conference on Machine Learning, ECML-98, held in Chemnitz, Germany, in April 1998. The book presents 21 revised full papers and 25 short papers reporting on work in progress together with two invited contributions; the papers were selected from a total of 100 submissions. The book is divided in sections on applications of ML, Bayesian networks, feature selection, decision trees, support vector learning, multiple models for classification, inductive logic programming, relational learning, instance-based learning, clustering, genetic algorithms, reinforcement learning and neural networks.



2.

Record Nr.

UNINA9910783070003321

Titolo

IS outsourcing and application service provision [[electronic resource] /] / guest editors Wendy Currie and Philip Seltsikas

Pubbl/distr/stampa

Bradford, England, : Emerald Group Publishing, c2002

ISBN

1-280-47947-7

9786610479474

1-84544-697-6

Descrizione fisica

1 online resource (70 p.)

Collana

Logistics information management ; ; v.15, no. 3

Altri autori (Persone)

CurrieWendy

SeltsikasPhilip

Disciplina

005./068/4

Soggetti

Electronic data processing departments - Contracting out

Information resources management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di contenuto

Contents; Abstracts & keywords; Guest editorial; Application service providers; Managing the ASP process; Managing IT outsourcing; Delivering enterprise resource planning systems through application service providers; Outsourcing opportunities for data warehousing business usage; Comparative analysis between the public and private sectors on the IS/IT outsourcing practices in a developing country

Sommario/riassunto

IS outsourcing has been a popular topic within the IS community over several decades. During the 1970's, the term ''facilities management'' was used and the emphasis was on service bureau contracts, where companies would rent space on a mainframe owned by the vendor.



3.

Record Nr.

UNINA9910814419203321

Autore

Panter A. T.

Titolo

Handbook of ethics in quantitative methodology / / A.T. Panter, Sonya K. Sterba

Pubbl/distr/stampa

New York : , : Routledge, , 2011

ISBN

1-136-88872-1

0-203-84002-X

1-283-10554-3

1-78034-743-X

9786613105547

1-136-88873-X

Descrizione fisica

1 online resource (541 p.)

Collana

Multivariate applications series

Altri autori (Persone)

SterbaSonya K

Disciplina

174/.900142

Soggetti

Quantitative research - Moral and ethical aspects

Social sciences - Methodology - Moral and ethical aspects

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and indexes.

Nota di contenuto

section 1. Developing an ethical framework for methodologists -- section 2. Teaching quantitative ethics -- section 3. Ethics and research design issues -- section 4. Ethics and data analysis issues -- section 5. Ethics and communicating findings.

Sommario/riassunto

This comprehensive Handbook is the first to provide a practical, interdisciplinary review of ethical issues as they relate to quantitative methodology including how to present evidence for reliability and validity, what comprises an adequate tested population, and what constitutes scientific knowledge for eliminating biases. The book uses an ethical framework that emphasizes the human cost of quantitative decision making to help researchers understand the specific implications of their choices. The order of the Handbook chapters parallels the chronology of the research process: determining the