Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
A Companion to W. V. O. Quine / / edited by Gilbert Harman, Ernest Lepore ; contributor Lars Bergström [and twenty-one others]
| A Companion to W. V. O. Quine / / edited by Gilbert Harman, Ernest Lepore ; contributor Lars Bergström [and twenty-one others] |
| Pubbl/distr/stampa | Chichester, England : , : John Wiley & Sons, , 2014 |
| Descrizione fisica | 1 online resource (597 p.) |
| Disciplina | 146.44 |
| Altri autori (Persone) |
HarmanGilbert
LeporeErnest BergströmLars |
| Collana | Blackwell Companions to Philosophy |
| Soggetto topico |
Empiricism
Knowledge, Theory of Philosophy |
| ISBN |
1-118-60785-6
1-118-60799-6 1-118-60802-X 1-118-60795-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Blackwell Companions to Philosophy; Title page; Copyright page; Contents; Notes on Contributors; Introduction: Life and Work; 1. Naturalism; 2. Extensionalism; 3. Empiricism; 4. Naturalized Epistemology; 5. Analyticity; 6. Holism; 7. Underdetermination; 8. Radical Translation; 9. Indeterminacy and Inscrutability; 10. Quine's Influence on the Study of the Logical Form of Ordinary Language; 11. Conclusion; Bibliography; Part I: Method; 1: Quine and Epistemology; 1. Empiricism, not "Empiricism"; 2. Overcoming Traditional Distinctions; 3. Naturalized Epistemology
4. The Rejection of "First Philosophy"References; 2: Quine and the A Priori; 1. Empiricism Before Quine; 2. Quine on Analyticity; 3. Relative Analyticity; 4. Epistemic and Pragmatic Analyticity; 5. Quinean Analyticity Again; 6. Justification; 7. A Pseudo-Problem?; 8. Coherentism; 9. Conservatism; 10. Is Coherentism Justified?; 11. A Priori Justification; References; 3: Quine and Pragmatism; 1. Introduction; 2. Influences; 3. Belief and Action; Acknowledgment; References; 4: Quine's Relationship with Analytic Philosophy; 1. Formative Years; 2. "What is Meaning?" 3. Extensionalism and the Vocabulary of Science4. Real Compared to What?7; (1) Ontology; (2) Realism; 5. Conclusion; References; 5: Quine on Paraphrase and Regimentation; 1. Introduction; 2. Regimentation and Synonymy; 3. Regimentation à la Quine; 3.1 The Language of Regimentation; 3.2 Some Examples; 3.3 Goals and Methodology; 3.4 Holism; 4. Indeterminacy of Reference and of Translation; 4.1 Indeterminacy of Reference; 4.2 Ontological Relativity: Indeterminacy under Another Name; 4.3 Indeterminacy of Translation; 5. Questions About Regimentation; 5.1 Alston's Worry; 5.2 Why Regiment? 6. ConclusionReferences; 6: Quine's Naturalism; 1. Methodological versus Ontological Naturalism; 2. Naturalized Epistemology; 3. Naturalism and Scientism; 4. Demarcation Disputes; 5. Naturalism and Disciplinary Autonomy; 6. Naturalism and Reductionism; 7. Observationality; 8. Synonymy and Verification; 9. Anti-Reductionist Naturalism; 10. Conclusion; References; 7: Quine's Naturalism Revisited; Acknowledgments; References; Part II: Language; 8: Inscrutability Scrutinized; 1. Terminology; 2. Inscrutability of Reference; 3. Indeterminacy of Meaning 4. The Relation of Inscrutability to IndeterminacyReferences; 9: Quine on the Analytic/Synthetic Distinction; 1. Making Sense of "Two Dogmas of Empiricism"; The Circularity Argument; Kinds of Meaning; The Argument from Confirmation Holism; A Second Picture; A Third Picture; 2. Arguments Against Truth in Virtue of Meaning; Definitions Don't Ground Truth; Conventionalism and the Sentence/Proposition Distinction; 3. Conclusion; References; 10: Quine, Analyticity, and Transcendence; 1. Introduction; 2. Verificationism: Radical and Subtle; 3. Transcendent Semantics5 4. Clarifications and Qualifications |
| Record Nr. | UNINA-9910140194803321 |
| Chichester, England : , : John Wiley & Sons, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
A Companion to W. V. O. Quine / / edited by Gilbert Harman, Ernest Lepore ; contributor Lars Bergström [and twenty-one others]
| A Companion to W. V. O. Quine / / edited by Gilbert Harman, Ernest Lepore ; contributor Lars Bergström [and twenty-one others] |
| Pubbl/distr/stampa | Chichester, England : , : John Wiley & Sons, , 2014 |
| Descrizione fisica | 1 online resource (597 p.) |
| Disciplina | 146.44 |
| Altri autori (Persone) |
HarmanGilbert
LeporeErnest BergströmLars |
| Collana | Blackwell Companions to Philosophy |
| Soggetto topico |
Empiricism
Knowledge, Theory of Philosophy |
| ISBN |
1-118-60785-6
1-118-60799-6 1-118-60802-X 1-118-60795-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Blackwell Companions to Philosophy; Title page; Copyright page; Contents; Notes on Contributors; Introduction: Life and Work; 1. Naturalism; 2. Extensionalism; 3. Empiricism; 4. Naturalized Epistemology; 5. Analyticity; 6. Holism; 7. Underdetermination; 8. Radical Translation; 9. Indeterminacy and Inscrutability; 10. Quine's Influence on the Study of the Logical Form of Ordinary Language; 11. Conclusion; Bibliography; Part I: Method; 1: Quine and Epistemology; 1. Empiricism, not "Empiricism"; 2. Overcoming Traditional Distinctions; 3. Naturalized Epistemology
4. The Rejection of "First Philosophy"References; 2: Quine and the A Priori; 1. Empiricism Before Quine; 2. Quine on Analyticity; 3. Relative Analyticity; 4. Epistemic and Pragmatic Analyticity; 5. Quinean Analyticity Again; 6. Justification; 7. A Pseudo-Problem?; 8. Coherentism; 9. Conservatism; 10. Is Coherentism Justified?; 11. A Priori Justification; References; 3: Quine and Pragmatism; 1. Introduction; 2. Influences; 3. Belief and Action; Acknowledgment; References; 4: Quine's Relationship with Analytic Philosophy; 1. Formative Years; 2. "What is Meaning?" 3. Extensionalism and the Vocabulary of Science4. Real Compared to What?7; (1) Ontology; (2) Realism; 5. Conclusion; References; 5: Quine on Paraphrase and Regimentation; 1. Introduction; 2. Regimentation and Synonymy; 3. Regimentation à la Quine; 3.1 The Language of Regimentation; 3.2 Some Examples; 3.3 Goals and Methodology; 3.4 Holism; 4. Indeterminacy of Reference and of Translation; 4.1 Indeterminacy of Reference; 4.2 Ontological Relativity: Indeterminacy under Another Name; 4.3 Indeterminacy of Translation; 5. Questions About Regimentation; 5.1 Alston's Worry; 5.2 Why Regiment? 6. ConclusionReferences; 6: Quine's Naturalism; 1. Methodological versus Ontological Naturalism; 2. Naturalized Epistemology; 3. Naturalism and Scientism; 4. Demarcation Disputes; 5. Naturalism and Disciplinary Autonomy; 6. Naturalism and Reductionism; 7. Observationality; 8. Synonymy and Verification; 9. Anti-Reductionist Naturalism; 10. Conclusion; References; 7: Quine's Naturalism Revisited; Acknowledgments; References; Part II: Language; 8: Inscrutability Scrutinized; 1. Terminology; 2. Inscrutability of Reference; 3. Indeterminacy of Meaning 4. The Relation of Inscrutability to IndeterminacyReferences; 9: Quine on the Analytic/Synthetic Distinction; 1. Making Sense of "Two Dogmas of Empiricism"; The Circularity Argument; Kinds of Meaning; The Argument from Confirmation Holism; A Second Picture; A Third Picture; 2. Arguments Against Truth in Virtue of Meaning; Definitions Don't Ground Truth; Conventionalism and the Sentence/Proposition Distinction; 3. Conclusion; References; 10: Quine, Analyticity, and Transcendence; 1. Introduction; 2. Verificationism: Radical and Subtle; 3. Transcendent Semantics5 4. Clarifications and Qualifications |
| Record Nr. | UNINA-9910824137303321 |
| Chichester, England : , : John Wiley & Sons, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An elementary introduction to statistical learning theory [[electronic resource] /] / Sanjeev Kulkarni, Gilbert Harman
| An elementary introduction to statistical learning theory [[electronic resource] /] / Sanjeev Kulkarni, Gilbert Harman |
| Autore | Kulkarni Sanjeev |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2011 |
| Descrizione fisica | 1 online resource (235 p.) |
| Disciplina |
006.3/1
006.31 |
| Altri autori (Persone) | HarmanGilbert |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Machine learning - Statistical methods
Pattern recognition systems |
| ISBN |
1-283-09868-7
9786613098689 1-118-02346-3 1-118-02347-1 1-118-02343-9 |
| Classificazione | ST 300 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
An Elementary Introduction to Statistical Learning Theory; Contents; Preface; 1 Introduction: Classification, Learning, Features, and Applications; 1.1 Scope; 1.2 Why Machine Learning?; 1.3 Some Applications; 1.3.1 Image Recognition; 1.3.2 Speech Recognition; 1.3.3 Medical Diagnosis; 1.3.4 Statistical Arbitrage; 1.4 Measurements, Features, and Feature Vectors; 1.5 The Need for Probability; 1.6 Supervised Learning; 1.7 Summary; 1.8 Appendix: Induction; 1.9 Questions; 1.10 References; 2 Probability; 2.1 Probability of Some Basic Events; 2.2 Probabilities of Compound Events
2.3 Conditional Probability2.4 Drawing Without Replacement; 2.5 A Classic Birthday Problem; 2.6 Random Variables; 2.7 Expected Value; 2.8 Variance; 2.9 Summary; 2.10 Appendix: Interpretations of Probability; 2.11 Questions; 2.12 References; 3 Probability Densities; 3.1 An Example in Two Dimensions; 3.2 Random Numbers in [0,1]; 3.3 Density Functions; 3.4 Probability Densities in Higher Dimensions; 3.5 Joint and Conditional Densities; 3.6 Expected Value and Variance; 3.7 Laws of Large Numbers; 3.8 Summary; 3.9 Appendix: Measurability; 3.10 Questions; 3.11 References 4 The Pattern Recognition Problem4.1 A Simple Example; 4.2 Decision Rules; 4.3 Success Criterion; 4.4 The Best Classifier: Bayes Decision Rule; 4.5 Continuous Features and Densities; 4.6 Summary; 4.7 Appendix: Uncountably Many; 4.8 Questions; 4.9 References; 5 The Optimal Bayes Decision Rule; 5.1 Bayes Theorem; 5.2 Bayes Decision Rule; 5.3 Optimality and Some Comments; 5.4 An Example; 5.5 Bayes Theorem and Decision Rule with Densities; 5.6 Summary; 5.7 Appendix: Defining Conditional Probability; 5.8 Questions; 5.9 References; 6 Learning from Examples; 6.1 Lack of Knowledge of Distributions 6.2 Training Data6.3 Assumptions on the Training Data; 6.4 A Brute Force Approach to Learning; 6.5 Curse of Dimensionality, Inductive Bias, and No Free Lunch; 6.6 Summary; 6.7 Appendix: What Sort of Learning?; 6.8 Questions; 6.9 References; 7 The Nearest Neighbor Rule; 7.1 The Nearest Neighbor Rule; 7.2 Performance of the Nearest Neighbor Rule; 7.3 Intuition and Proof Sketch of Performance; 7.4 Using more Neighbors; 7.5 Summary; 7.6 Appendix: When People use Nearest Neighbor Reasoning; 7.6.1 Who Is a Bachelor?; 7.6.2 Legal Reasoning; 7.6.3 Moral Reasoning; 7.7 Questions; 7.8 References 8 Kernel Rules8.1 Motivation; 8.2 A Variation on Nearest Neighbor Rules; 8.3 Kernel Rules; 8.4 Universal Consistency of Kernel Rules; 8.5 Potential Functions; 8.6 More General Kernels; 8.7 Summary; 8.8 Appendix: Kernels, Similarity, and Features; 8.9 Questions; 8.10 References; 9 Neural Networks: Perceptrons; 9.1 Multilayer Feedforward Networks; 9.2 Neural Networks for Learning and Classification; 9.3 Perceptrons; 9.3.1 Threshold; 9.4 Learning Rule for Perceptrons; 9.5 Representational Capabilities of Perceptrons; 9.6 Summary; 9.7 Appendix: Models of Mind; 9.8 Questions; 9.9 References 10 Multilayer Networks |
| Record Nr. | UNINA-9910139455203321 |
Kulkarni Sanjeev
|
||
| Hoboken, N.J., : Wiley, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An elementary introduction to statistical learning theory / / Sanjeev Kulkarni, Gilbert Harman
| An elementary introduction to statistical learning theory / / Sanjeev Kulkarni, Gilbert Harman |
| Autore | Kulkarni Sanjeev |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2011 |
| Descrizione fisica | 1 online resource (235 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) | HarmanGilbert |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Machine learning - Statistical methods
Pattern recognition systems |
| ISBN |
1-283-09868-7
9786613098689 1-118-02346-3 1-118-02347-1 1-118-02343-9 |
| Classificazione | ST 300 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
An Elementary Introduction to Statistical Learning Theory; Contents; Preface; 1 Introduction: Classification, Learning, Features, and Applications; 1.1 Scope; 1.2 Why Machine Learning?; 1.3 Some Applications; 1.3.1 Image Recognition; 1.3.2 Speech Recognition; 1.3.3 Medical Diagnosis; 1.3.4 Statistical Arbitrage; 1.4 Measurements, Features, and Feature Vectors; 1.5 The Need for Probability; 1.6 Supervised Learning; 1.7 Summary; 1.8 Appendix: Induction; 1.9 Questions; 1.10 References; 2 Probability; 2.1 Probability of Some Basic Events; 2.2 Probabilities of Compound Events
2.3 Conditional Probability2.4 Drawing Without Replacement; 2.5 A Classic Birthday Problem; 2.6 Random Variables; 2.7 Expected Value; 2.8 Variance; 2.9 Summary; 2.10 Appendix: Interpretations of Probability; 2.11 Questions; 2.12 References; 3 Probability Densities; 3.1 An Example in Two Dimensions; 3.2 Random Numbers in [0,1]; 3.3 Density Functions; 3.4 Probability Densities in Higher Dimensions; 3.5 Joint and Conditional Densities; 3.6 Expected Value and Variance; 3.7 Laws of Large Numbers; 3.8 Summary; 3.9 Appendix: Measurability; 3.10 Questions; 3.11 References 4 The Pattern Recognition Problem4.1 A Simple Example; 4.2 Decision Rules; 4.3 Success Criterion; 4.4 The Best Classifier: Bayes Decision Rule; 4.5 Continuous Features and Densities; 4.6 Summary; 4.7 Appendix: Uncountably Many; 4.8 Questions; 4.9 References; 5 The Optimal Bayes Decision Rule; 5.1 Bayes Theorem; 5.2 Bayes Decision Rule; 5.3 Optimality and Some Comments; 5.4 An Example; 5.5 Bayes Theorem and Decision Rule with Densities; 5.6 Summary; 5.7 Appendix: Defining Conditional Probability; 5.8 Questions; 5.9 References; 6 Learning from Examples; 6.1 Lack of Knowledge of Distributions 6.2 Training Data6.3 Assumptions on the Training Data; 6.4 A Brute Force Approach to Learning; 6.5 Curse of Dimensionality, Inductive Bias, and No Free Lunch; 6.6 Summary; 6.7 Appendix: What Sort of Learning?; 6.8 Questions; 6.9 References; 7 The Nearest Neighbor Rule; 7.1 The Nearest Neighbor Rule; 7.2 Performance of the Nearest Neighbor Rule; 7.3 Intuition and Proof Sketch of Performance; 7.4 Using more Neighbors; 7.5 Summary; 7.6 Appendix: When People use Nearest Neighbor Reasoning; 7.6.1 Who Is a Bachelor?; 7.6.2 Legal Reasoning; 7.6.3 Moral Reasoning; 7.7 Questions; 7.8 References 8 Kernel Rules8.1 Motivation; 8.2 A Variation on Nearest Neighbor Rules; 8.3 Kernel Rules; 8.4 Universal Consistency of Kernel Rules; 8.5 Potential Functions; 8.6 More General Kernels; 8.7 Summary; 8.8 Appendix: Kernels, Similarity, and Features; 8.9 Questions; 8.10 References; 9 Neural Networks: Perceptrons; 9.1 Multilayer Feedforward Networks; 9.2 Neural Networks for Learning and Classification; 9.3 Perceptrons; 9.3.1 Threshold; 9.4 Learning Rule for Perceptrons; 9.5 Representational Capabilities of Perceptrons; 9.6 Summary; 9.7 Appendix: Models of Mind; 9.8 Questions; 9.9 References 10 Multilayer Networks |
| Record Nr. | UNINA-9910818427003321 |
|
Kulkarni Sanjeev
|
||
| Hoboken, N.J., : Wiley, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||