Sebanyak 1197 item atau buku ditemukan

Bahan penataran Pedoman Penghayatan dan Pengamalan Pancasila, Undang-Undang Dasar 1945, Garis-Garis Besar Haluan Negara

Untuk maksud itu Undang-Undang Dasar 1945 mewajibkan Pemerintah
mengusahakan dan menyelenggarakan satu sistem pengajaran nasional yang
diatur dengan undang-undang (Pasal 3 1 ayat (2)). Sistem Pendidikan Nasional
diatur ...

Mini Book Master Geografi & Sosiologi SMA IPS Kelas X, XI, & XII

Belajar Geografi & Sosiologi menjadi lebih mudah, lebih asyik, & gak bikin pusing

Sebagian besar materi Geografi & Sosiologi SMA IPS merupakan materi hafalan. Karenanya, kondisi ini bisa menjadi kendala bagi siswa untuk menguasainya. Tapi, tenang guys, kita punya solusi CERDAS yang disajikan dalam buku ini. Kunci utama untuk mudah menghafal adalah terlebih dahulu memahami secara benar konsep dasar dari materi per bab-nya. Dengan penguasaan konsep dasar yang kuat, akan memudahkan kamu untuk menghafal materi pelajaran. Alasan mengapa buku ini bisa menjadi solusi CERDAS buat kamu: Penjabaran Konsep Dasar dari materi pelajaran tiap bab diset secara khusus sehingga lebih mudah dipahami dan dihafalkan. Adanya petujuk-petunjuk praktis dalam setiap bab yang memudahkan kamu untuk menerapkannya dalam menyelesaikan soal-soal ujian. Tampilan buku ini lebih praktis dan handy membuat kamu bisa membawa dan membacanya di mana dan kapan saja. Udah gak zaman bawa-bawa buku se-gede Gaban (Gede Banget). Cukup satu Buku Mini, tapi Master Isinya. Terdapat soal dan pembabasan Ulangan Harian, Ujian Semester, Ujian Nasional, SNMPTN, SIMAK-UI yang dapat melatih kamu agar lebih mahir mengerjakan soal sesulit apa pun. -WahyuMedia-

A. Dalam setiap 100 penduduk wanita terdapat 98 penduduk laki-laki B. Dalam
setiap 100 penduduk laki-laki terdapat 98 penduduk wanita C. Jumlah penduduk
laki-laki lebih besar dari jumlah penduduk wanita D. Jumlah penduduk laki-laki ...

Pengkajian (transliterasi dan terjemahan) Lontarak Bilang Raja Gowa dan Tallok

naskah Makassar

Naanak I Daeng Mammuntuli Aruk Kayu, Ahmad. 7 Pebereari, 25 Dolohaji,
banngi Salasa. Namate anakna Karaenta ri Mandallek I Daeng Sisila ri Malakaya
. 12 Pebereari, 30 Dolohaji, allo Ahak. Nasipelak Karaenta ri Beroanging I Daeng
 ...

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

The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation. The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains.

The aim of the EVOLVE workshop, the originating point of this book, is to build a
bridge between probability, statistics, set oriented numerics and evolutionary
computing, as to identify new common and challenging research aspects. The
event ...

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

This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal.

The massive use and large applicability spectrum of evolutionary algorithms for
real-life applications determined the need of establishing solid theoretical
grounds. Only to offer one example, one may consider mathematical objects that
are ...

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

This book comprises a selection of extended abstracts and papers presented at the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics, and evolutionary computation as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE aims to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE conference focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees, and modeling. The extended papers of the EVOLVE 2012 make a contribution to this goal.

The aim of the EVOLVE is to build a bridge between probability, set oriented
numerics, and evolutionary computation as to identify new common and
challenging research aspects. The conference is also intended to foster a
growing interest for ...

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 ...

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

This volume encloses research articles that were presented at the EVOLVE 2014 International Conference in Beijing, China, July 1–4, 2014. The book gathers contributions that emerged from the conference tracks, ranging from probability to set oriented numerics and evolutionary computation; all complemented by the bridging purpose of the conference, e.g. Complex Networks and Landscape Analysis, or by the more application oriented perspective. The novelty of the volume, when considering the EVOLVE series, comes from targeting also the practitioner’s view. This is supported by the Machine Learning Applied to Networks and Practical Aspects of Evolutionary Algorithms tracks, providing surveys on new application areas, as in the networking area and useful insights in the development of evolutionary techniques, from a practitioner’s perspective. Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.

This paper presents a study on the application of evolutionary computation and
artificial intelligence techniques to forecast inflows into the Vanderkloof reservoir,
South Africa for the purpose of planning and management of available water ...

Markov Networks in Evolutionary Computation

Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs). EDAs have arisen as one of the most successful experiences in the application of machine learning methods in optimization, mainly due to their efficiency to solve complex real-world optimization problems and their suitability for theoretical analysis. This book focuses on the different steps involved in the conception, implementation and application of EDAs that use Markov networks, and undirected models in general. It can serve as a general introduction to EDAs but covers also an important current void in the study of these algorithms by explaining the specificities and benefits of modeling optimization problems by means of undirected probabilistic models. All major developments to date in the progressive introduction of Markov networks based EDAs are reviewed in the book. Hot current research trends and future perspectives in the enhancement and applicability of EDAs are also covered. The contributions included in the book address topics as relevant as the application of probabilistic-based fitness models, the use of belief propagation algorithms in EDAs and the application of Markov network based EDAs to real-world optimization problems. The book should be of interest to researchers and practitioners from areas such as optimization, evolutionary computation, and machine learning.

This book focuses on the different steps involved in the conception, implementation and application of EDAs that use Markov networks, and undirected models in general.