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  • 1
    Book
    Book
    New Delhi :Archaeological Survey of India,
    UID:
    almafu_BV004726469
    Format: XIII, 435, CXXIV S. : , Ill., Kt.
    Series Statement: Archaeological Survey of India: Memoirs of the Archaeological Survey of India 87
    Language: English
    Subjects: History
    RVK:
    RVK:
    Keywords: Ausgrabung ; Vor- und Frühgeschichte ; Ausgrabung
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  • 2
    Book
    Book
    London (u.a.) :Butterworth,
    UID:
    almafu_BV002014328
    Format: XII, 711 S. : graph. Darst.
    Edition: 3. ed.
    Language: English
    Subjects: Biology
    RVK:
    Keywords: Chromosomenanalyse ; Methode ; Chromosomenanalyse
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  • 3
    Online Resource
    Online Resource
    Milton :Jenny Stanford Publishing,
    UID:
    almahu_9949598940702882
    Format: 1 online resource (458 p.)
    ISBN: 9781000867671 , 1000867676 , 9781003385134 , 1003385133 , 9781000867633 , 1000867633
    Content: This book provides a collection of reviews of some of the recent developments in nuclear physics research at intermediate energies from across the globe. It especially focuses on the most essential aspects, such as multifragmentation and associated phenomena in nuclear collisions, with the incident energy region between a few MeV and several hundreds of MeV/nucleon. The topic of the book--multifragmentation--was chosen based on the fact that all heavy-ion collisions revolve around a fragmenting system, which is also thought to have a link to phase transitions. One unique and valuable dimension of this book is that it has brought together the research of several experts working in the field of intermediate energy heavy-ion collisions in various renowned laboratories of the world. It provides a thorough review of the recent developments in various related phenomena, especially multifragmentation, observed at the intermediate-energy range, both theoretically and experimentally. It extensively discusses the concept of nuclear symmetry energy, which is important for the nuclear physics and astrophysics communities. In addition, the book identifies potential research directions and technologies that will drive future innovations. It will serve as a valuable reference for a larger audience, including students who wish to pursue a career in nuclear physics and astrophysics.
    Note: Description based upon print version of record. , 6.3: Minimum Spanning Tree Clusterization Algorithm and Its Extensions , Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Chapter 1: Multifragmentation and Associated Phenomenon: Recent Progress and New Challenges -- 1.1: Introduction -- 1.2: Nuclear Equation of State -- 1.3: Nuclear Multifragmentation: Theory and Experiments -- 1.4: Nuclear Multifragmentation and Liquid-Gas Phase Transition -- 1.5: Summary and Outlook -- Chapter 2: Statistical Multifragmentation in Heavy-Ion Reactions: Theory and Experiments -- 2.1: Introduction -- 2.2: Statistical Multifragmentation Model , 2.2.1: Isospin Dependence of Fragment Distributions -- 2.2.2: Largest Fragments in Fragment Partitions -- 2.2.3: Temperature and Bimodality -- 2.2.4: Influence of the Critical Temperature -- 2.2.5: Influence of the Symmetry Energy -- 2.2.6: Evaporation of Hot Fragments with Isospin Effects -- 2.2.7: Theory and Experiments at Fermi Energy Regime -- 2.3: Comparison with Experiments at High Energies -- 2.3.1: In-Medium Modification of Fragment Properties -- 2.3.2: Sensitivity to Symmetry Energy and Surface Term Parameters: Theory and Experiment -- 2.3.3: Isotope Distributions , 2.3.4: Isoscaling and the Symmetry Term -- 2.3.5: Phase Diagram and Critical Behaviour: High-Energy Experiments and Theory -- 2.3.6: Possible Applications for Astrophysics and Supernova Explosions -- 2.4: Conclusion -- Chapter 3: Nuclear Liquid-Gas Phase Transition in Multifragmentation -- 3.1: Introduction -- 3.2: Various Signals for Liquid-Gas Phase Transitions -- 3.2.1: The Power-Law Behavior -- 3.2.2: Rise and Fall Behavior of IMFs -- 3.2.3: Flattening of the Caloric Curve -- 3.2.4: Maximal Fluctuations -- 3.2.5: Phase Separation Parameter -- 3.2.6: Bimodality -- 3.2.7: Information Entropy , 3.2.8: Zipf's Law -- 3.3: Summary -- Chapter 4: Nuclear Liquid-Gas Phase Transition: A Theoretical Overview -- 4.1: Introduction -- 4.2: Searching for the Signatures and Order of Nuclear Phase Transition -- 4.3: Statistical Model and Phase Transition Signatures -- 4.4: Dynamical Model and Phase Transition Signatures -- 4.5: Phase Transition Signatures from Lattice Gas Model and Percolation Model -- 4.6: Hypernuclear Phase Transition -- Chapter 5: A 3D Calorimetry of Hot Nuclei -- 5.1: Introduction -- 5.2: Necessary Selections , 5.3: Reconstruction of the Quasi-Projectile Velocity and Associated Reference Frame -- 5.4: Selection Criteria and Characterization of the Evaporation Component of Quasi-Projectile -- 5.5: Calculation of the Emission Probabilities by the QP -- 5.6: Hot QP Reconstruction -- 5.7: Conclusion -- Chapter 6: Early Recognition of Fragment Configuration in Intermediate Energy Heavy-Ion Collisions -- 6.1: Cluster Production in Heavy-Ion Collisions: An Overview -- 6.2: Molecular Dynamics Approach to Multifragmentation: Role of Secondary Clusterization Algorithms
    Additional Edition: Print version: Puri, Rajeev K. Multifragmentation in Heavy-Ion Reactions Milton : Jenny Stanford Publishing,c2023 ISBN 9789814968690
    Language: English
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  • 4
    UID:
    almahu_9947920718302882
    Format: XII, 478 p. , online resource.
    ISBN: 9783540449683
    Series Statement: Lecture Notes in Computer Science, 1858
    Note: Invited Talks -- Theoretical Problems Related to the Internet -- Recent Progress and Prospects for Integer Factorisation Algorithms -- Hao Wang Award Paper -- Approximating Uniform Triangular Meshes in Polygons -- The Best Young Researcher Paper -- Maximum Induced Matchings of Random Cubic Graphs -- Computational Geometry 1 -- A Duality between Small-Face Problems in Arrangements of Lines and Heilbronn-Type Problems -- On Local Transformation of Polygons with Visibility Properties -- Graph Drawing -- Embedding Problems for Paths with Direction Constrained Edges -- Characterization of Level Non-planar Graphs by Minimal Patterns -- Rectangular Drawings of Plane Graphs Without Designated Corners -- Computing Optimal Embeddings for Planar Graphs -- Graph Theory and Algorithms 1 -- Approximation Algorithms for Independent Sets in Map Graphs -- Hierarchical Topological Inference on Planar Disc Maps -- Efficient Algorithms for the Minimum Connected Domination on Trapezoid Graphs -- Complexity, Discrete Mathematics, and Number Theory -- Parameterized Complexity of Finding Subgraphs with Hereditary Properties -- Some Results on Tries with Adaptive Branching -- Optimal Coding with One Asymmetric Error: Below the Sphere Packing Bound -- Closure Properties of Real Number Classes under Limits and Computable Operators -- Graph Theory and Algorithms 2 -- A Characterization of Graphs with Vertex Cover Six -- On the Monotonicity of Minimum Diameter with Respect to Order and Maximum Out-Degree -- Online Algorithms -- Online Independent Sets -- Two-Dimensional On-Line Bin Packing Problem with Rotatable Items -- Better Bounds on the Accommodating Ratio for the Seat Reservation Problem -- Ordinal On-Line Scheduling on Two Uniform Machines -- Parallel and Distributed Computing -- Agents, Distributed Algorithms, and Stabilization -- A Fast Sorting Algorithm and Its Generalization on Broadcast Communications -- Efficient List Ranking Algorithms on Reconfigurable Mesh -- Computational Geometry 2 -- Tripods Do Not Pack Densely -- An Efficient k Nearest Neighbor Searching Algorithm for a Query Line -- Tetrahedralization of Two Nested Convex Polyhedra -- Efficient Algorithms for Two-Center Problems for a Convex Polygon -- Combinatorial Optimization -- On Computation of Arbitrage for Markets with Friction -- On Some Optimization Problems in Obnoxious Facility Location -- Generating Necklaces and Strings with Forbidden Substrings -- Optimal Labelling of Point Features in the Slider Model -- Data Structures and Computational Biology -- Mappings for Conflict-Free Access of Paths in Elementary Data Structures -- Theory of Trinomial Heaps -- Polyhedral Aspects of the Consecutive Ones Problem -- The Complexity of Physical Mapping with Strict Chimerism -- Learning and Cryptography -- Logical Analysis of Data with Decomposable Structures -- Learning from Approximate Data -- A Combinatorial Approach to Asymmetric Traitor Tracing -- Removing Complexity Assumptions from Concurrent Zero-Knowledge Proofs -- Automata and Quantum Computing -- One-Way Probabilistic Reversible and Quantum One-Counter Automata -- Similarity Enrichment in Image Compression through Weighted Finite Automata -- On the Power of Input-Synchronized Alternating Finite Automata -- Ordered Quantum Branching Programs Are More Powerful than Ordered Probabilistic Branching Programs under a Bounded-Width Restriction.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540677871
    Language: English
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  • 5
    UID:
    almahu_9948324632202882
    Format: xiv, 350 p. : , ill. (some col.).
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Language: English
    Keywords: Electronic books.
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  • 6
    UID:
    almahu_9947920890102882
    Format: XVII, 337 p. , online resource.
    ISBN: 9783540707196
    Series Statement: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, 1160
    Content: This book constitutes the refereed proceedings of the 7th International Workshop on Algorithmic Learning Theory, ALT '96, held in Sydney, Australia, in October 1996. The 16 revised full papers presented were selected from 41 submissions; also included are eight short papers as well as four full length invited contributions by Ross Quinlan, Takeshi Shinohara, Leslie Valiant, and Paul Vitanyi, and an introduction by the volume editors. The book covers all areas related to algorithmic learning theory, ranging from theoretical foundations of machine learning to applications in several areas.
    Note: Managing complexity in neuroidal circuits -- Learnability of exclusive-or expansion based on monotone DNF formulas -- Improved bounds about on-line learning of smooth functions of a single variable -- Query learning of bounded-width OBDDs -- Learning a representation for optimizable formulas -- Limits of exact algorithms for inference of minimum size finite state machines -- Genetic fitness optimization using rapidly mixing Markov chains -- The kindest cut: Minimum message length segmentation -- Reducing complexity of decision trees with two variable tests -- The complexity of exactly learning algebraic concepts -- Efficient learning of real time two-counter automata -- Cost-sensitive feature reduction applied to a hybrid genetic algorithm -- Effects of Feature Selection with ‘Blurring’ on neurofuzzy systems -- Boosting first-order learning -- Incorporating hypothetical knowledge into the process of inductive synthesis -- Induction of Constraint Logic Programs -- Constructive learning of translations based on dictionaries -- Inductive logic programming beyond logical implication -- Noise elimination in inductive concept learning: A case study in medical diagnosis -- MML estimation of the parameters of the spherical fisher distribution -- Learning by erasing -- On learning and co-learning of minimal programs -- Inductive inference of unbounded unions of pattern languages from positive data -- A class of prolog programs inferable from positive data -- Vacillatory and BC learning on noisy data -- Transformations that preserve learnability -- Probabilistic limit identification up to “small” sets -- Reflecting inductive inference machines and its improvement by therapy.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540618638
    Language: English
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  • 7
    UID:
    almahu_9948324632002882
    Format: xvii, 398 p. : , ill. (some col.)
    Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
    Language: English
    Keywords: Electronic books.
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  • 8
    UID:
    almahu_BV036484802
    Format: XXX, 237 Seiten : , Illustrationen.
    Language: English
    Subjects: Economics
    RVK:
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  • 9
    Book
    Book
    Dordrecht [u.a.] :Kluwer,
    UID:
    almahu_BV025275681
    Format: VII, 179 S. : , Ill., graph. Darst.
    ISBN: 0-7923-7009-0
    Note: Reprinted from: Methods in cell science ; 23(2001)1-3
    Language: English
    Subjects: Biology
    RVK:
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  • 10
    UID:
    almahu_9947920692502882
    Format: XII, 348 p. , online resource.
    ISBN: 9783540409922
    Series Statement: Lecture Notes in Computer Science, 1968
    Note: INVITED LECTURES -- Extracting Information from the Web for Concept Learning and Collaborative Filtering -- The Divide-and-Conquer Manifesto -- Sequential Sampling Techniques for Algorithmic Learning Theory -- REGULAR CONTRIBUTIONS -- Towards an Algorithmic Statistics -- Minimum Message Length Grouping of Ordered Data -- Learning From Positive and Unlabeled Examples -- Learning Erasing Pattern Languages with Queries -- Learning Recursive Concepts with Anomalies -- Identification of Function Distinguishable Languages -- A Probabilistic Identification Result -- A New Framework for Discovering Knowledge from Two-Dimensional Structured Data Using Layout Formal Graph System -- Hypotheses Finding via Residue Hypotheses with the Resolution Principle -- Conceptual Classifications Guided by a Concept Hierarchy -- Learning Taxonomic Relation by Case-based Reasoning -- Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees -- Self-duality of Bounded Monotone Boolean Functions and Related Problems -- Sharper Bounds for the Hardness of Prototype and Feature Selection -- On the Hardness of Learning Acyclic Conjunctive Queries -- Dynamic Hand Gesture Recognition Based On Randomized Self-Organizing Map Algorithm -- On Approximate Learning by Multi-layered Feedforward Circuits -- The Last-Step Minimax Algorithm -- Rough Sets and Ordinal Classification -- A note on the generalization performance of kernel classifiers with margin -- On the Noise Model of Support Vector Machines Regression -- Computationally Efficient Transductive Machines.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540412373
    Language: English
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