LEADER 02412nam0 22004693i 450 001 MIL0269729 005 20251003044230.0 100 $a20161003d1994 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 183 1$6z01$anc$2RDAcarrier 200 1 $aˆUn ‰anno di PAC$egli effetti della riforma sull'economia agricola italiana \ [rapporto realizzato da Ismea$acon il contributo di C.S.I.A., Consorzio per il sistema informativo dell'Aima] 210 $a[s.l.$cs.n.]$d1994$eRoma$gDimensione stampa 215 $a119 p.$cill.$d30 cm 300 $aIn copertina: Veronafiere. 517 1 $aˆUn ‰anno di politica agricola comunitaria$9NAP0963897 606 $aEconomia agraria$xItalia$2FIR$3CFIC043568$9E 606 $a COMUNITA EUROPEE$xPOLITICA AGRARIA$xEFFETTI SULL'ECONOMIA ITALIANA$2FIR$3MILC074881$9I 606 $aITALIA$xECONOMIA$xEFFETTI DELLA POLITICA AGRARIA COMUNITARIA$2FIR$3MILC074884$9I 676 $a338.181$9PRODUZIONE. Agricoltura. Politiche agricole internazionali$v23 696 $aEconomia agricola 696 $aEconomia reale$aAttività economiche$aAspetti economici 699 $aEconomia agraria$yEconomia agricola 699 $aEconomia$yEconomia reale 699 $aEconomia$zAttività economiche 699 $aEconomia$zAspetti economici 710 02$aISMEA$3CFIV063043$4070$0354033 712 02$aConsorzio per il sistema informativo dell'Aima$3MILV154941 791 02$aIstituto per studi ricerche e informazioni sul mercato agricolo$3CFIV063044$zISMEA 791 02$aIstituto di servizi per il mercato agricolo alimentare$3UFIV147117$zISMEA 801 3$aIT$bIT-000000$c20161003 850 $aIT-BN0095 $aIT-NA0299 901 $bNAP 01$cPOZZO LIB.$nVi sono collocati fondi di economia, periodici di ingegneria e scienze, periodici di economia e statistica e altri fondi comprendenti documenti di economia pervenuti in dono. 901 $bNAP AG$cF.AVOLIO $n$ 912 $aMIL0269729 950 0$aBiblioteca Centralizzata di Ateneo$b1 v.$c1 v.$d 01POZZO LIB.ECON MON 10040$e 0101 0060070385E VMA 1 v. (Precedente collocazione DASES 124)$fB $h20231013$i20231013 977 $a 01$a AG 996 $aCon il contributo di C.S.I.A., Consorzio per il sistema informativo dell'Aima$93569462 996 $aAnno di PAC$9395162 997 $aUNISANNIO LEADER 07974nam 22007455 450 001 9910768437803321 005 20251226195444.0 010 $a3-540-46056-X 024 7 $a10.1007/11871842 035 $a(CKB)1000000000283917 035 $a(SSID)ssj0000318742 035 $a(PQKBManifestationID)11255710 035 $a(PQKBTitleCode)TC0000318742 035 $a(PQKBWorkID)10336032 035 $a(PQKB)11096760 035 $a(DE-He213)978-3-540-46056-5 035 $a(MiAaPQ)EBC3068466 035 $a(PPN)123138574 035 $a(BIP)13649132 035 $a(BIP)13637525 035 $a(EXLCZ)991000000000283917 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMachine Learning: ECML 2006 $e17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings /$fedited by Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XXIII, 851 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4212 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-45375-X 320 $aIncludes bibliographical references and index. 327 $aInvited Talks -- On Temporal Evolution in Data Streams -- The Future of CiteSeer: CiteSeerx -- Learning to Have Fun -- Winning the DARPA Grand Challenge -- Challenges of Urban Sensing -- Long Papers -- Learning in One-Shot Strategic Form Games -- A Selective Sampling Strategy for Label Ranking -- Combinatorial Markov Random Fields -- Learning Stochastic Tree Edit Distance -- Pertinent Background Knowledge for Learning Protein Grammars -- Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies -- Sequence Discrimination Using Phase-Type Distributions -- Languages as Hyperplanes: Grammatical Inference with String Kernels -- Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning -- Fisher Kernels for Relational Data -- Evaluating Misclassifications in Imbalanced Data -- Improving Control-Knowledge Acquisition for Planning by Active Learning -- PAC-Learning of Markov Models with Hidden State -- A Discriminative Approach for the Retrieval of Imagesfrom Text Queries -- TildeCRF: Conditional Random Fields for Logical Sequences -- Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data -- Bayesian Learning of Markov Network Structure -- Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks -- Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions -- EM Algorithm for Symmetric Causal Independence Models -- Deconvolutive Clustering of Markov States -- Patching Approximate Solutions in Reinforcement Learning -- Fast Variational Inference for Gaussian Process Models Through KL-Correction -- Bandit Based Monte-Carlo Planning -- Bayesian Learning with Mixtures of Trees -- Transductive Gaussian Process Regression with Automatic Model Selection -- Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees -- Why Is Rule Learning Optimistic and How to Correct It -- Automatically Evolving Rule Induction Algorithms -- Bayesian Active Learning for Sensitivity Analysis -- Mixtures of Kikuchi Approximations -- Boosting in PN Spaces -- Prioritizing Point-Based POMDP Solvers -- Graph Based Semi-supervised Learning with Sharper Edges -- Margin-Based Active Learning for Structured Output Spaces -- Skill Acquisition Via Transfer Learning and Advice Taking -- Constant Rate Approximate Maximum Margin Algorithms -- Batch Classification with Applications in Computer Aided Diagnosis -- Improving the Ranking Performance of Decision Trees -- Multiple-Instance Learning Via Random Walk -- Localized Alternative Cluster Ensembles for Collaborative Structuring -- Distributional Features for Text Categorization -- Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data -- An Adaptive Kernel Method for Semi-supervised Clustering -- To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles -- Ensembles of Nearest Neighbor Forecasts -- Short Papers -- Learning Process Models with Missing Data -- Case-Based Label Ranking.-Cascade Evaluation of Clustering Algorithms -- Making Good Probability Estimates for Regression -- Fast Spectral Clustering of Data Using Sequential Matrix Compression -- An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects -- Efficient Inference in Large Conditional Random Fields -- A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses -- Cost-Sensitive Decision Tree Learning for Forensic Classification -- The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces -- Right of Inference: Nearest Rectangle Learning Revisited -- Reinforcement Learning for MDPs with Constraints -- Efficient Non-linear Control Through Neuroevolution -- Efficient Prediction-Based Validation for Document Clustering -- On Testing the Missing at Random Assumption -- B-Matching for Spectral Clustering -- Multi-class Ensemble-Based Active Learning -- Active Learning with Irrelevant Examples.-Classification with Support Hyperplanes -- (Agnostic) PAC Learning Concepts in Higher-Order Logic -- Evaluating Feature Selection for SVMs in High Dimensions -- Revisiting Fisher Kernels for Document Similarities -- Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery -- Robust Probabilistic Calibration -- Missing Data in Kernel PCA -- Exploiting Extremely Rare Features in Text Categorization -- Efficient Large Scale Linear Programming Support Vector Machines -- An Efficient Approximation to Lookahead in Relational Learners -- Improvement of Systems Management Policies Using Hybrid Reinforcement Learning -- Diversified SVM Ensembles for Large Data Sets -- Dynamic Integration with Random Forests -- Bagging Using Statistical Queries -- Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test -- Spline Embedding for Nonlinear Dimensionality Reduction -- Cost-Sensitive Learning of SVM for Ranking -- Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. 330 $aThis book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly with PKDD 2006. The book presents 46 revised full papers and 36 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers present a wealth of new results in the area and address all current issues in machine learning. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4212 606 $aArtificial intelligence 606 $aAlgorithms 606 $aMachine theory 606 $aDatabase management 606 $aArtificial Intelligence 606 $aAlgorithms 606 $aFormal Languages and Automata Theory 606 $aDatabase Management 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 0$aMachine theory. 615 0$aDatabase management. 615 14$aArtificial Intelligence. 615 24$aAlgorithms. 615 24$aFormal Languages and Automata Theory. 615 24$aDatabase Management. 676 $a006.3/1 701 $aFurnkranz$b Johannes$01756205 701 $aScheffer$b Tobias$01756206 701 $aSpiliopoulou$b Myra$01756207 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768437803321 996 $aMachine Learning: ECML 2006$94522705 997 $aUNINA