We introduce an approach to optimize a machine translation (MT) system on multiple metrics simultaneously. Different metrics (e.g. BLEU, TER) focus on different aspects of translation quality; our multi-objective approach leverages these diverse aspects to improve overall quality. Our approach is based on the theory of Pareto Optimality.
This book presents state of the art contributes to Simulated Annealing (SA) that is a well-known probabilistic meta-heuristic. It is used to solve discrete and continuous optimization problems. The significant advantage of SA over other solution methods has made it a practical solution method for solving complex optimization problems. Book is consisted of 13 chapters, classified in single and multiple objectives applications and it provides the reader with the knowledge of SA and several applications.
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Acoustic Sensor-Based Multiple Object Tracking with Visual Information Association
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:
Research Article Track and Cut: Simultaneous Tracking and Segmentation of Multiple Objects with Graph Cuts
In the area of agriculture we have eight chapters with different concerns such
as conceptual problems related with risk analysis, the interaction between
agriculture and the environment, water resources planning, agroforestry sys-
tems management, simulation of effects on agriculture of changes in the
common agriculture policy, and so on. OR/MS techniques used are basically
the following: linear programming, multi-objective fractional programming,
goal programming, multi-attribute utility theory and control dynamic optimi-
Object tracking consists in estimation of trajectory of moving objects in the sequence of images. Automation of the computer object tracking is a difficult task. Dynamics of multiple parameters changes representing features and motion of the objects, and temporary partial or full occlusion of the tracked objects have to be considered. This monograph presents the development of object tracking algorithms, methods and systems.
Subjective & Objective terms the scoring methods
All tests subjectively constructed by the test writer
Objective tests: only one correct answer.
+ scored mechanically by computer
+ responsible for testing a large number
Discuss the following:
The Object-Oriented approach
Drawbacks of traditional programming
Discuss basic Object-Oriented concepts such as:
Compare Classes with Structures
Describe Private and Public sections of Classes
Use the scope resolution operator
Use dynamic memory allocation with
Use pointers to objects
Define and use Constructors
Define and use Destructors
Define the "Const" keyword
Define and use the "this" pointer
Describe how objects and functions are arranged in memory
Static Data Members
Static member Functions
Describe type conversions using
Converting by assignment
Describe Single Inheritance
Describe Base class and Derived class
Access Base class members and use pointers in classes
Describe types of inheritance
Describe Constructors and Destructors under inheritance
Describe how to call Member Functions of the Base Class and Derived Class
Describe Container Classes
To maintain and reuse class objects easily, we need to be able to relate classes of similar nature to another.
Single inheritance is the process of creating new classes from an existing base class.
Describe Multiple Inheritance
Constructors under Multiple Inheritance
Ambiguity in Multiple Inheritance
Multiple Inheritance with a Common Base
Describe Virtual Base Classes
Constructors and Destructors
Use Pointers to Objects to access Member Functions
Class & Object Diagrams - Software Design Methodology includes UML class diagrams; class diagrams vs object diagrams; relationships; dependency; association; association name; association multiplicity; multiplicity example; multiplicity symbols; association role names; classes versus objects; class diagram example; aggregation; inheritance (generalization); multiple inheritance.
It is not always clear how the differences in intrinsic evaluation metrics for a parser or classiﬁer will affect the performance of the system that uses it. We investigate the relationship between the intrinsic evaluation scores of an interpretation component in a tutorial dialogue system and the learning outcomes in an experiment with human users. Following the PARADISE methodology, we use multiple linear regression to build predictive models of learning gain, an important objective outcome metric in tutorial dialogue.
In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge sources to disambiguate word sense, including part of speech of neighboring words, morphological form, the unordered set of surrounding words, local collocations, and verb-object syntactic relation. We tested our WSD program, named LEXAS, on both a common data set used in previous work, as well as on a large sense-tagged corpus that we separately constructed. ...
This chapter presents the following content: What is UML? essentials of UML class diagrams, associations and multiplicity, generalization, object diagrams, more advanced features of class diagrams, the basics of Object Constraint Language, a class diagram for genealogy,...
Chapter 4 (part 1) - Defining your own classes. After you have read and studied this chapter, you should be able to: Define a class with multiple methods and data members, differentiate the local and instance variables, define and use value-returning methods, distinguish private and public methods, distinguish private and public data members, pass both primitive data and objects to a method.
Object Oriented Programming - Lesson 7: Overriding, Abstract class and Interface Understand and master some Java techniques for realizing the inheritance. It presents Method overriding, Single inheritance and multiple inheritance, Abstract class and abstract method, Interface and implementation.
The thesis majors at: Camera surveillance systems and related works; the hand – off camera techniques in surveillance camera systems with multiple cameras; the anomaly detection techniques in video surveillance.