| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996465562403316 |
|
|
Titolo |
Multiple Classifier Systems [[electronic resource] ] : First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings / / edited by Josef Kittler, Fabio Roli |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2000.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XII, 408 p.) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Computer Science, , 0302-9743 ; ; 1857 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Ensemble learning (Machine learning) |
Pattern recognition |
Artificial intelligence |
Optical data processing |
Algorithms |
Computers |
Pattern Recognition |
Artificial Intelligence |
Image Processing and Computer Vision |
Algorithm Analysis and Problem Complexity |
Computation by Abstract Devices |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Bibliographic Level Mode of Issuance: Monograph |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references at the end of each chapters and index. |
|
|
|
|
|
|
|
|
Nota di contenuto |
|
Ensemble Methods in Machine Learning -- Experiments with Classifier Combining Rules -- The “Test and Select” Approach to Ensemble Combination -- A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR -- Multiple Classifier Combination Methodologies for Different Output Levels -- A Mathematically Rigorous Foundation for Supervised Learning -- Classifier Combinations: Implementations and Theoretical Issues -- Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification -- Complexity of Classification Problems and Comparative Advantages of Combined Classifiers -- Effectiveness |
|
|
|
|
|
|
|
|
|
|
of Error Correcting Output Codes in Multiclass Learning Problems -- Combining Fisher Linear Discriminants for Dissimilarity Representations -- A Learning Method of Feature Selection for Rough Classification -- Analysis of a Fusion Method for Combining Marginal Classifiers -- A hybrid projection based and radial basis function architecture -- Combining Multiple Classifiers in Probabilistic Neural Networks -- Supervised Classifier Combination through Generalized Additive Multi-model -- Dynamic Classifier Selection -- Boosting in Linear Discriminant Analysis -- Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination -- Applying Boosting to Similarity Literals for Time Series Classification -- Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS -- A New Evaluation Method for Expert Combination in Multi-expert System Designing -- Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems -- Self-Organizing Decomposition of Functions -- Classifier Instability and Partitioning -- A Hierarchical Multiclassifier System for Hyperspectral Data Analysis -- Consensus Based Classification of Multisource Remote Sensing Data -- Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps -- A Multiple Self-Organizing Map Scheme for Remote Sensing Classification -- Use of Lexicon Density in Evaluating Word Recognizers -- A Multi-expert System for Dynamic Signature Verification -- A Cascaded Multiple Expert System for Verification -- Architecture for Classifier Combination Using Entropy Measures -- Combining Fingerprint Classifiers -- Statistical Sensor Calibration for Fusion of Different Classifiers in a Biometric Person Recognition Framework -- A Modular Neuro-Fuzzy Network for Musical Instruments Classification -- Classifier Combination for Grammar-Guided Sentence Recognition -- Shape Matching and Extraction by an Array of Figure-and-Ground Classifiers. |
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNISALENTO991003756929707536 |
|
|
Autore |
Dürrenmatt, Friedrich |
|
|
Titolo |
Die physiker / Friedrich Dürrenmatt ; erläuterungen und dokumente von Alexander Ritter |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Collana |
|
Universal-bibliothek ; 8189 |
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
3. |
Record Nr. |
UNINA9910954233903321 |
|
|
Autore |
LaFrenieÌre Peter |
|
|
Titolo |
Adaptive origins : evolution and human development / / Peter LaFrenieÌre |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
New York : , : Psychology Press, , 2010 |
|
|
|
|
|
|
|
ISBN |
|
1-136-94517-2 |
1-136-94518-0 |
1-283-03721-1 |
9786613037213 |
0-203-84799-7 |
|
|
|
|
|
|
|
|
Edizione |
[1st ed.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (409 p.) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Evolutionary psychology |
Developmental psychology |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
BOOK COVER; TITLE; COPYRIGHT; CONTENTS; PREFACE; CHAPTER 1 Evolutionary Theory; CHAPTER 2 Contemporary Evolutionary Perspectives; CHAPTER 3 The Genetic Basis of Evolution and Behavior; CHAPTER 4 Human Origins; CHAPTER 5 Brain Evolution and Development; CHAPTER 6 Hormones and Behavior; CHAPTER 7 Facial Expressions and Basic Emotions in Infancy; CHAPTER 8 Attachment in Infancy; CHAPTER 9 Theory of Mind and Language; CHAPTER 10 Sex Differences; CHAPTER 11 Mate Choice and Reproductive Strategies; CHAPTER 12 Darwinian Medicine and Evolutionary Psychiatry |
CHAPTER 13 Altruism, Cooperation, and CompetitionREFERENCES; GLOSSARY; INDEX |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
In this text, students are invited to rethink psychology by grounding it in the natural sciences with the understanding that evolutionary and developmental processes work together with culture to solve problems of human adaptation. These processes are cast as interdependent: Development cannot be understood except in the light of evolutionary theory, and the best proof of evolution is the fact of development. For students of evolutionary psychology, all the central topics -- such as evolved mental modules for theory of mind or language -- require an understanding of the developmental proces |
|
|
|
|
|
|
|
| |