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The Writer's Book of Wisdom

101 Rules for Mastering Your Craft

Providing for writers of any skill level, a concise guide outlines 101 techniques on everything from tone to characterization, sharing advice for both fiction and nonfiction writing projects, as well as word selection, sentence structure, and plot development. Reprint. 10,000 first printing.

Kompilasi undang-undang perpajakan

ketentuan umum dan tata cara perpajakan, pajak penghasilan, pajak pertambahan nilai, dan pajak penjualan atas barang mewah dikompilasi dari undang-undang nomor 6, 7, dan 8 tahun 1983, Undang-Undang nomor 7 tahun 1991, undang-unang nomor 9, 10, dan 11 tahun 1994, undang-undang nomor 16, 17, dan 18 tahun 2000

Collection of Indonesian laws regarding taxation.

Collection of Indonesian laws regarding taxation.

Corporate Governance and the Timeliness of Change

Reorientation in 100 American Firms

A unique study of how quickly firms can adapt to change and the factors that speed or inhibit them.

A unique study of how quickly firms can adapt to change and the factors that speed or inhibit them.

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012, Proceedings

This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.

Inferring Disease-Related Metabolite Dependencies with a Bayesian
Optimization Algorithm Holger Franken1, Alexander Seitz1, Rainer Lehmann2,3,
Hans-Ulrich Häring2,3, Norbert Stefan2,3, and Andreas Zell1 1 Center for
Bioinformatics ...

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV

International Conference Held at Leiden University, July 10-13, 2013

Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines. These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.

The overarching goal of the EVOLVE international conference series is to build a
bridge between probability, statistics, set oriented numerics and evolutionary
computing, as to identify new common and challenging research aspects and
solve ...

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings

The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences datainordertounravelthemysteriesofbiologicalfunction,leadingtonewdrugs andtherapiesforhumandisease. Life sciencesdatacomeinthe formofbiological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci?c information in a given dataset in order to generate new interesting knowledge. Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o?er the ?eld of bioinformatics. The goal of the 8th - ropean Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBIO 2010) was to bring together experts in these ?elds in order to discuss new and novel methods for tackling complex biological problems. The 8th EvoBIO conference was held in Istanbul, Turkey during April 7–9, 2010attheIstanbulTechnicalUniversity. EvoBIO2010washeldjointlywiththe 13th European Conference on Genetic Programming (EuroGP 2010), the 10th European Conference on Evolutionary Computation in Combinatorial Opti- sation (EvoCOP 2010), and the conference on the applications of evolutionary computation,EvoApplications. Collectively,the conferences areorganizedunder the name Evo* (www. evostar. org). EvoBIO, held annually as a workshop since 2003, became a conference in 2007 and it is now the premiere European event for those interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology.

8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010,
Proceedings Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini. Finding Gapped
Motifs by a Novel Evolutionary Algorithm Chengwei Lei and Jianhua Ruan
Department ...

Artificial Life and Evolutionary Computation

Proceedings of Wivace 2008, Venice, Italy, 8-10 September 2008

The Italian community in Artificial Life and Evolutionary computation has grown remarkably in recent years, and this book is the first broad collection of its major interests and achievements (including contributions from foreign countries). The contributions in Artificial Life as well as in Evolutionary Computation allow one to see the deep connections between the two fields. The topics addressed are extremely relevant for present day research in Artificial Life and in Evolutionary Computation, which include important contributions from very well-known researchers. The volume provides a very broad picture of the Italian activities in this field. Sample Chapter(s). Chapter 1: Cognitive Dynamics in an Automata Gas (906 KB). Contents: Diffusion of Shapes (R S Shaw & N H Packard); FDC-Based Particle Swarm Optimization (A Azzini et al.); An Evolutionary Predictive Approach to Design High Dimensional Experiments (D De March et al.); Prefrontal Cortex and Action Sequences: A Review on Neural Computational Models (I Gaudiello et al.); Bio-Inspired ICT for Evolutionary Emotional Intelligence (M Villamira & P Cipresso); Cooperation in Corvids: A Simulative Study with Evolved Robots (O Miglino et al.); Distributed Processes in a Agent-Based Model of Innovation (L Ansaloni et al.); Imaginary or Actual Artificial Worlds Using a New Tool in the ABM Perspective (P Terna); Dynamics of Interconnected Boolean Networks with Scale-Free Topology (C Damiani et al.); Semi-Synthetical Minimal Cells (P Stano & P L Luisi); and other papers. Readership: Graduate students, academics and researchers in the field of complex systems, artificial intelligence and robotics.

to Python and vice versa (via the Python-UNO bridge, incorporated in OOo); (iii)
do symbolic calculations in Python (via http://code.google.com/p/sympy/); and (iv)
use Social Network Analysis from Python, with tools like the Igraph library ...

Evolutionary Computation in Combinatorial Optimization

6th European Conference, EvoCOP 2006, Budapest, Hungary, April 10-12, 2006, Proceedings

Constructive greedy heuristics are algorithms that try to iteratively construct
feasible solutions for combinatorial optimization problems from the scratch. For
this they make use of a greedy scoring function, which evaluates the myopic
impact of ...

Evolutionary Computation in Combinatorial Optimization

15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings

This book constitutes the refereed proceedings of the 15th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2015, held in Copenhagen, Denmark, in April 2015, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications. The 19 revised full papers presented were carefully reviewed and selected from 46 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic (hybrid) algorithms, iterated local search, variable neighbourhood search, ant colony optimization, artificial immune systems, hyper-heuristics and other adaptive approaches. The applications include both traditional domains, such as graph coloring, knapsack, vehicle routing, job-shop scheduling, the p-median and the orienteering problems; and new(er) domains such as designing deep recurrent neural networks, detecting network community structure, lock scheduling of ships, cloud resource management, the fire-fighter problem and AI planning. The theoretical studies involved approximation ratio, runtime and black-box complexity analyses.

A Biased Random-Key Genetic Algorithm for the Cloud Resource Management
Problem Leonard Heilig1(B), Eduardo ... Flexible use options and associated
cost savings of cloud computing are increasingly attracting the interest from both
 ...

Applications of Evolutionary Computation

18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings

This book constitutes the refereed conference proceedings of the 18th International Conference on the Applications of Evolutionary Computation, EvoApplications 2015, held in Copenhagen, Spain, in April 2015, colocated with the Evo 2015 events EuroGP, EvoCOP, and EvoMUSART. The 72 revised full papers presented were carefully reviewed and selected from 125 submissions. EvoApplications 2015 consisted of the following 13 tracks: EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Training Financial Decision Support Systems with Thousands of Decision Rules
Using Differential Evolution with Embedded Dimensionality Reduction Piotr
Lipinski(B) Institute of Computer Science, Computational Intelligence Research ...