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maniashara Menu GAMELAN KECAK BALI 12/1/2018 0 Comments 1. Tari Kecak Bali 2. Sejarah Tari Kecak Bali 3. Bali Gamelan & Kecak Music Recorded in Bali, May - October 1987. Originally released in 1989. The songs and performers on this release are mostly - but not always - based on region (in Bali), style of piece, name of gamelan and finally what the piece is called. For example, song 4 appears on the insert as: 4. Genggong Batur Sari, Batuan - Lagu Kodok (Frog Song) From this can be worked out the style is Genggong (Jew's Harp), recorded in Batuan village and the title is Lagu Kodok. However, song 5 is given as: 5. Gamelan Salunding, Tenganan - Gending Sekar Gadung From this it can be assumed the collective gamelan is called Gamelan Salunding, which is from Tanganan. And the piece is called Gending etc. For song 8, the kecak is not so much a title but a specific chant - the Ramayana Monkey Chant. Song 3 is simply a Jew's Harp duet. Jan 24, 2013 Gamelan & Kecak - Geneging Sekar Gadung percloruroferrico. Bali, Kecak dance, Borobudur, Bromo - Duration: 6:14. Roderick C Wahr 339,536 views. Bali Kecak and Fire Dance Performance is traditional Balinese dance with music generated from a combination sounds. The gamelan suara. However, as others are more difficult to work out, the following explanatory notes are added regarding the music (and text) on the disc. Complete listings are as follows: 1. Opening Parade, Bali Arts Festival - (June 13, 1987) 2. Gamelan Gong Sekaha Sadha Budaya - Gending Kebyar Kosalya Arini 3. Genggong Duet - Sekar Sungsang 4. Genggong Batur Sari, Batuan - Lagu Kodok (Frog Song) 5. Gamelan Salunding, Tenganan - Gending Sekar Gadung 6. Sadha Budaya Gamelan Gong Suling - Tabuh Teluh 7. Gender Wayang, Sukawati - Sulendro 8. Sekaha Ganda Sari, Bona - Kecak 9. Gamelan Gong Kebyar Sekolah Tinggi Seni Indonesia, Den Pasar - Baris. The Kecak is an unusual Balinese dance for a couple of reasons. First, there is no musical accompaniment. The gamelan is not there. Rhythm is provided by a chanting 'monkey' chorus. The polyrhythmic sound of the chanting provides the name, 'Ke-chak'. The story line for the Kecak is taken from the Ramayana. Prince Rama goes hunting for a golden deer and his beautiful wife is kidnapped by the evil Rawana. Story is secondary in this performance, though. If you want to see the story of the Ramayana, you should see a Ramayana performance. The Kecak is a triumph of style and mood, rather than story. Watch the faces of audience members. More than any other Balinese dance, the Kecak turns every viewer into a child, wide-eyed and transfixed. The fifty man chorus gathers in a ring around a flame to create a stage. They also act as various monkey armies in the story and become an undulating snake in one of the pivotal scenes. With only the flame as lighting, this performance takes on a primeval feel, especially when staged outside of a hotel setting. Secondly, the kecak is one of the only dances that invented for tourists. It’s almost never watched by the Balinese. Kecak is a form of Balinese dance and music drama, originated in the 1930s Bali and is performed primarily by men, although a few women's kecak groups exist as of 2006. Also known as the Ramayana Monkey Chant, the piece, performed by a circle of 150 or more performers wearing checked cloth around their waists, percussively chanting 'cak' and throwing up their arms, depicts a battle from the Ramayana where the monkey-like Vanara helped Prince Rama fight the evil King Ravana. However, Kecak has roots in sanghyang, a trance-inducing exorcism dance. History Kecak was originally a trance ritual accompanied by male chorus. TARI KECAK BALI German painter and musician Walter Spies became deeply interested in the ritual while living in Bali in the 1930s and worked to recreate it into a drama, based on the Hindu Ramayana and including dance, intended to be presented to Western tourist audiences. This transformation is an example of what James Clifford describes as part of the 'modern art-culture system' in which, 'the West or the central power adopts, transforms, and consumes non-Western or peripheral cultural elements, while making 'art' which was once embedded in the culture as a whole, into a separate entity.' 'Spies worked with Wayan Limbak and Limbak popularized the dance by traveling throughout the world with Balinese performance groups. SEJARAH TARI KECAK BALI These travels have helped to make the Kecak famous throughout the world. Performer, choreographer, and scholar I Wayan Dibia cites a contrasting theory that the Balinese were already developing the form when Spies arrived on the island. BALI GAMELAN & KECAK MUSIC For example, well-known dancer I Limbak had incorporated Baris movements into the cak leader role during the 1920s. 'Spies liked this innovation,' and it suggested that Limbak, 'devise a spectacle based on the Ramayana,' accompanied by cak chorus rather than gamelan, as would have been usual. Kecak Story What makes the Kecak special is that the accompanying music is provided by the human voice, the gamelan voice, a choir of a hundred men or more sitting in concentric circles, swaying, standing up, lying prone as the story develops. Adobe flash panorama player. Amongst the swaying masses the voices of the storytellers can be heard telling the unfolding tale. The story is a fragment from the Ramayana, the Hindu epic which finds its expression in many forms, not only in dance, but also in painting and carving. Prince Rama, heir to the throne of the kingdom of Ayodya, and his wife Sita have been banished from the kingdom by King Dasarata as a result of trickery by Rama’s stepmother. The story begins with the arrival of Rama and Sita accompanied by Rama’s brother Laksmana in the forest of Dandaka. 0 Comments CLASSIFICATION AND REGRESSION TREES FREE SOFTWARE 12/1/2018 0 Comments What are classification and regression trees Classification and regression trees are methods that deliver models that meet both explanatory and predictive goals. See all 33 rows on hardwaredata.org. Two of the strengths of this method are on the one hand the simple graphical representation by trees, and on the other hand the compact format of the natural language rules. We distinguish the following two cases where these modeling techniques should be used: • Use classification trees to explain and predict the belonging of objects (observations, individuals) to a class, on the basis of explanatory quantitative and qualitative variables. Jun 14, 2012 Introductory Overview - Basic Ideas Overview C&RT, a recursive partitioning method, builds classification and regression trees for predicting continuous. Classification and regression tree free download. Weka Weka is a collection of machine learning algorithms for solving real-world data mining problems. Classification and regression trees are. Another alternative available in some software packages. Many small classification or regression trees are built. • Use regression tree to build an explanatory and predicting model for a dependent quantitative variable based on explanatory quantitative and qualitative variables. Algorithms for classification and regression trees in XLSTAT XLSTAT uses the CHAID, exhaustive CHAID, QUEST and C&RT (Classification and Regression Trees) algorithms. Classification and regression trees apply to quantitative and qualitative dependent variables. In the case of a or, only qualitative dependent variables can be used. Roland fantom g6. In the case of a qualitative depending variable with only two categories, the user will be able to compare the performances of both methods by using ROC curves. Results for classification and regression trees in XLSTAT Among the numerous results provided, XLSTAT can display the classification table (also called confusion matrix) used to calculate the percentage of well-classified observations. The proportion of well-classified positive events is called the sensitivity. The specificity is the proportion of well-classified negative events. If you vary the threshold probability from which an event is to be considered positive, the sensitivity and specificity will also vary. When only two classes are present in the dependent variable, the ROC (Receiver Operating Characteristics) curve may also be displayed. It is the curve of points (1-specificity, sensitivity). It can be used for comparison with other models as it displays the performance of a model. The area under the curve (or AUC) is a synthetic index calculated for ROC curves. The AUC corresponds to the probability such that a positive event has a higher probability given to it by the model than a negative event. For an ideal model, AUC=1 and for a random model, AUC = 0.5. A model is usually considered good when the AUC value is greater than 0.7. A well-discriminating model must have an AUC of between 0.87 and 0.9. A model with an AUC greater than 0.9 is excellent. Validation for classification and regression trees You are advised to validate the model on a validation sample wherever possible. XLSTAT has several options for generating a validation sample automatically. • • • Decision tree learning uses a (as a ) to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modelling approaches used in, and. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, represent class labels and branches represent of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically ) are called regression trees. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and. In, a decision tree describes data (but the resulting classification tree can be an input for ). This page deals with decision trees in. A tree showing survival of passengers on the. The figures under the leaves show the probability of survival and the percentage of observations in the leaf. Decision tree learning is a method commonly used in data mining. The goal is to create a model that predicts the value of a target variable based on several input variables. An example is shown in the diagram at right. Each corresponds to one of the input variables; there are edges to children for each of the possible values of that input variable. Each leaf represents a value of the target variable given the values of the input variables represented by the path from the root to the leaf. A decision tree is a simple representation for classifying examples. 0 Comments VISTA MEDIA CENTER SETTINGS 12/1/2018 0 Comments 1. Vista Media Center Update When I record a program using the search or guide, it automatically assigns some filter to edit out the comeercials. 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Going to the Vista screen I clicked on the Start icon and found no mention of Tasks. After some research I found that the help information refers to the Media Center start screen. The center of the screen should read 'Recorded TV'. Cursor down through 'Sports' and 'Online Media' and you will reach 'Tasks'. Look to the left and you will then see 'Settings'. Select that and you can then choose the settings that you wish to make. You may wish to cursor throughout the Media Center start screen as there is a variety of functions available in each dimension, not just left and right. For instance, there is a capability to listen to FM broadcasts if you have the right PCI card in your PC. The confusion lies in the fact that users think of the Vista Start icon rather than the Media Center start screen. I hope that helped. 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