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BayesiaLab v3.3
Full name: BayesiaLab_v3.3-DIGERATI.nfo
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ÞÛÛÛ²ÛÜÜ ° ÞÛÛÛÛ²²° ÞÛÛ²² ³The severity of the itch is ³ ° ÜÜÛ²ÛÛÛÝ
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Üß ÜÜ ÞÛ²²Ý ßÛÛÛÜÜÜÛÛÛ²² ³ability to scratch it. ³ Þ²²ÛÝ ÜÜ ßÜ
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Ü ß²ÛÜÜ° ßßßßßßßÛÛÜ ÜÛÛßßßßßßß °ÜÜÛ²ß Ü
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ÜÜÛ²ß ÜÜÛÛ²²ß ß²²ÛÛÜÜ ß²ÛÜÜ
ÛÛÛ²Ý ÜÜÜÛÛ²ßß ° ß ß ° ßß²ÛÛÜÜÜ Þ²ÛÛÛ
ßÛÛÛ²ÛÛÛ²ßß The diGERATi Present ßß²ÛÛÛ²ÛÛÛß
ßßß
ÛÜÜÜÜÜ BayesiaLab v3.3 ÜÜÜÜÜÜÛ
ßÛÛÛ²Ü ÜÛÛÛ²ß
ÞÛÛ²² ÛÛÛ²Ý
ÛÛÛß Release Info ßÛÛ²
ÜÛÛß ßÛÛÜ
ÜÛÛß ßÛÛÜ
ÞÛ²² Cracker ......: DIGERATI Release-Type..: Regged ÛÛ²Ý
ÛÛ²Ý Packager......: DIGPACKER Release-Date..: 5-6-2005 ÞÛÛ²
ÛÛ² Supplier......: DIGERATI Protection....: Serial ÛÛ²
ÞÛÛ Coder.........: DIGERATI OS............: WinAll Û²Ý
ÛÛ² ° Company.......: Bayesia Disks.........: [xx/03] °²Û²
ßÛÛ° °Û²ß
ßÛÛ° URL: http://www.bayesia.com/ °Û²ß
²Ü ÞÛ²Ý ÞÛ²Ý Ü²
Û² ²² ß ° ÜÜÜÜ ÜÜÜÜ ° ß ²² ²Û
±±Ü ßÛ ßÛ²Ü Þ²Ü ßßßÜ Üßßß Ü²Ý Ü²Ûß Ûß Ü±±
°° ßÛÜÜÜ ÞÛ²Ý ßÛ²Ü ß ß ÜÛ²ß Þ²ÛÝ ÜÜÜÛß °°
ÛÜ ÛÜßßÛÛÛÛ²ß ÞÛ²Ý ß Release Notes ß ÞÛ²Ý ß²ÛÛÛÛßßÜÛ ÜÛ
ÜÛ² ÜÜÜ ÜÜÛ²ß ßÛ²ÜÜ ÜÜÜ Û²Ü
ÜÛ²ß ßÛÛÛÛÛÛ²ß ß²ÛÛÛÛ²²ß ßÛ²Ü
ÛÛ² ßßß ° ° ßßß ÛÛ²
ÞÛ²Ý ÞÛ²Ý
ÛÛ² ÛÛ²
Û²Û With BayesiaLab, Bayesia gives you a complete ÛÛ²
Û²Û laboratory for manipulating Bayesian networks: ÛÛ²
Û²Û ÛÛ²
Û²Û * Develop your decision models through ÛÛ²
Û²Û expertise ÛÛ²
Û²Û o Ergonomic node edition ÛÛ²
Û²Û panel providing: ÛÛ²
Û²Û + wizards for ÛÛ²
Û²Û modality generation and naming of both Label ÛÛ²
Û²Û and Interval nodes ÛÛ²
Û²Û + various entry ÛÛ²
Û²Û modes for conditional probability distribution: ÛÛ²
Û²Û probabilistic, deterministic and equation ÛÛ²
Û²Û + powerful formula ÛÛ²
Û²Û editor with a complete function and operator ÛÛ²
Û²Û library (discrete & continuous probability ÛÛ²
Û²Û distributions, arithmetic and trigonometric ÛÛ²
Û²Û functions, ...) ÛÛ²
Û²Û + table completion ÛÛ²
Û²Û and normalization tools, cut & paste between ÛÛ²
Û²Û tables and external applications ÛÛ²
Û²Û o Constraint nodes to ÛÛ²
Û²Û express constraint that hold between nodes ÛÛ²
Û²Û o Enhanced traceability and ÛÛ²
Û²Û documentation thanks to hypertext comments ÛÛ²
Û²Û associated to the graph, the nodes and the ÛÛ²
Û²Û arcs ÛÛ²
Û²Û o Color node and arc ÛÛ²
Û²Û tagging to semantically group your variables and ÛÛ²
Û²Û probabilistic relations ÛÛ²
Û²Û * Automatic learning or updating of ÛÛ²
Û²Û your models from your data (text files and ÛÛ²
Û²Û databases) ÛÛ²
Û²Û o Learning conditional ÛÛ²
Û²Û probabilities for a given network ÛÛ²
Û²Û o Discovering of all the ÛÛ²
Û²Û probabilistic relations that hold in your data ÛÛ²
Û²Û base (Association discovery) ÛÛ²
Û²Û o Supervised learning ÛÛ²
Û²Û entirely devoted to characterizing a target ÛÛ²
Û²Û variable ÛÛ²
Û²Û o Selection of the minimal ÛÛ²
Û²Û subset of variables correlated to the target ÛÛ²
Û²Û variable ÛÛ²
Û²Û o Bayesian Clustering to ÛÛ²
Û²Û invent new concepts ÛÛ²
Û²Û o Robust Missing value ÛÛ²
Û²Û processing ÛÛ²
Û²Û o Validation tools qualifying ÛÛ²
Û²Û the obtained models (confusion matrix, lift and ÛÛ²
Û²Û Roc curves) ÛÛ²
Û²Û * Quickly assimilate the represented ÛÛ²
Û²Û knowledge using a set of original analytical ÛÛ²
Û²Û tools ÛÛ²
Û²Û o Strength of the ÛÛ²
Û²Û probabilistic relations (arc's thickness and HTML ÛÛ²
Û²Û report) ÛÛ²
Û²Û o Amount of information ÛÛ²
Û²Û brought to the target node/modality ÛÛ²
Û²Û o Type of probabilistic ÛÛ²
Û²Û relations ÛÛ²
Û²Û o Complete HTML analysis ÛÛ²
Û²Û report of the target variable ÛÛ²
Û²Û o HTML report of the ÛÛ²
Û²Û evidence set analysis ÛÛ²
Û²Û o Causal analysis (essential ÛÛ²
Û²Û graphs) ÛÛ²
Û²Û o Automatic network layouting ÛÛ²
Û²Û algorithms ÛÛ²
Û²Û * Use the models in interactive or ÛÛ²
Û²Û batch mode ÛÛ²
Û²Û o Positive, negative and ÛÛ²
Û²Û soft evidences on the variable states ÛÛ²
Û²Û o Simulation of "What-if" ÛÛ²
Û²Û scenarios with probability variation highlighting ÛÛ²
Û²Û o Adaptive questionnaires ÛÛ²
Û²Û taking into account Costs and Information Gains ÛÛ²
Û²Û o Off-line Tagging of new ÛÛ²
Û²Û cases contained in a file ÛÛ²
Û²Û o Robust imputation algorithm ÛÛ²
Û²Û to complete data with missing values ÛÛ²
Û²Û * Introduce the temporal dimension into ÛÛ²
Û²Û your models ÛÛ²
Û²Û o Compact representation of ÛÛ²
Û²Û Dynamic Bayesian networks ÛÛ²
Û²Û o Time node for an explicit ÛÛ²
Û²Û use of time in the equations ÛÛ²
Û²Û o Temporal simulation step ÛÛ²
Û²Û by step or by period with a graphical view of ÛÛ²
Û²Û the probability evolution ÛÛ²
Û²Û o Observations file to ÛÛ²
Û²Û specify the context of the scenarios ÛÛ²
Û²Û * Representation, evaluation and ÛÛ²
Û²Û learning of your action policies ÛÛ²
Û²Û o Decision nodes for ÛÛ²
Û²Û modeling your actions ÛÛ²
Û²Û o Quality tables associated ÛÛ²
Û²Û to Decision nodes for a direct representation ÛÛ²
Û²Û of action policies ÛÛ²
Û²Û o Utility nodes to valuate ÛÛ²
Û²Û the states and to associate cost/gains to node ÛÛ²
Û²Û modalities ÛÛ²
Û²Û o Reinforcement learning ÛÛ²
Û²Û algorithms to automatically discover policies ÛÛ²
Û²Û that optimize the expected sum of utilities ÛÛ²
Û²Û * Complete interoperability ÛÛ²
Û²Û o Connection with your ÛÛ²
Û²Û databases by using JDBC/ODBC ÛÛ²
Û²Û o SQL Interface ÛÛ²
Û²Û o Exportation of Bayesian ÛÛ²
Û²Û networks, tables, equations, graphs, matrices and ÛÛ²
Û²Û reports by using simple copy&paste, as images, ÛÛ²
Û²Û numerical data and HTML texts ÛÛ²
ÛÛ² ÛÛ²
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ÞÛ²Ý ÞÛ²Ý
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ßÛÛ²ÜÜ ÞÛÛÜ Ü Install Notes Ü ÜÛ²Ý ÜܲÛÛß
ÜßßÛÛÛÛÜÛ²² ßß ÜÜ ÜÜ ßß ÛÛ²ÜÛÛÛÛßßÜ
ÜÛÝ ÜÜÜ ßßßÛÛÛÛÜÜßß ßßÜÜÛÛÛÛßßß ÜÜÜ ÞÛÜ
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Ü ßßßßß ßßßßß Ü
Û² Û²ß ß²Û Û²
Û²Û 1. Unpack the pre-cracked software ÛÛ²
Û²Û 2. Use the following serials to register ÛÛ²
Û²Û ÛÛ²
Û²Û 10A3-9A30-6473-04B8 ÛÛ²
Û²Û ÛÛ²
Û²Û 45B3-3JKU-5283-FSGU ÛÛ²
Û²ÝßÛ ÛßÞÛ²
ÛÛ²Ý ÞÛÛ²
ÜÛÛ ÛÛÜ
ÞÛ²Ý ÜÛÛÜ ÜÜÛ²ÜÜ ÜÜßß þ þ ßßÜÜ ÜÜÛÛ²Ü ÜÛÛÜ ÞÛ²Ý
ÞÛ² ÜÜÛ²ß ÜÜÜ ßÛÛ²ß ßÜÜ ß ß ÜÜß ßÛÛ²ß ÜÜÜ ÛÛ²ÜÜ Û²Ý
ßÛÛÛ²²ß ßß ßß ßßÛÛ²²²ß
Ü ÜÜÜÛ Greets to all who work hard to make the scene ÛÜÜÜ Ü
ÜÛ² Û²Ý ÞÛ² Û²Ü
Û²Ý ÞÛ² secure and enjoyable for everyone! Û²Ý ÞÛ²
ßÛ² Û²Ý ÞÛ² Û²ß
ßßÜ Û²Ý Some general notes... ÞÛ² Üßß
ÞÛ² Û²Ý
ÛÛ² Û - we dont want our releases spread via usenet,ftp Û ÛÛ²
ÞÛ² ÞÛ - we dont want our releases being listed on ²Ý Û²Ý
Û² Û² several public dupe-sites like nforce ÛÛ² Û²
Û² Û²² - we dont want to see our releases on public places ÛÛ² Û²
ÜÛ² ÜÛ²² - nor do we support one of these points ÛÛ²Ü Û²Ü
ÞÛ²Ý ÛÛ²² ÛÛ²² ÞÛ²Ý
ÞÛÛ² ÛÛ²ß Think about it and try to make the scene as secure... ßÛÛ² ÛÛ²²
ßÛÛÛÜÜÜ° ... as possible °ÜÜÜÛ²²ß
ÜÜßßßÛ²ÛÜÜÜ ° ° ÜÜÜÛ²ÛßßßÜÜ
Û²Ý ßÛ²²²ÜÜ ÜÛ ÜÜÛÛÛ²ß Þ²Û
ßÛÜ ÞÛÛ²²²Ý ° ° Û Û ß Ûßß ²ßÜ Üßß ßÛ ÛÜÜ Û ° ° ÞÛÛÛ²²Ý ÜÛß
ÜÜÜÜÜßßßßßßß²ß ° ° Ûܲ°Û°ÛÜÛ ÛÜÜ Û °Ûܲ ÛÜÜ Û ° ° ß²ßßßßßßßÜÜÜÜÜ
Û²²ß ° ° ß²²Û
Þ²Ý Ascii by Yce*Remorse Þ²Ý
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