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TyMontagueJohnWinsorIanSchaferTheNewModelsandWhatTheyTeachUs
From: iTunes on Fri, Jan 07 2011 7:37 AM
Ty Montague, Co-CEO and Founder of Co; Ian Schafer, CEO of Deep Focus; and John Winsor, CEO and Founder of Victors & Spoils join Edward Boches in a panel discussion of how their models differ from traditional agency models and what we can learn from them. BDW Executive Workshop Making Digital Wo...
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TipsForAspiringModelsPart3
From: videojug on Wed, Dec 08 2010 5:35 AM
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TipsForAspiringModelsPart1
From: videojug on Wed, Dec 08 2010 5:28 AM
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PerceptronsasmodelsofvisionPartI
From: MIT TechTV on Sat, Nov 13 2010 12:55 PM
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ModelsofdelayactivityIntegrators
From: MIT TechTV on Thu, Nov 04 2010 1:34 PM
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Graphicalmodels
From: VideoLectures on Wed, Oct 13 2010 8:57 PM
This course covers the basics of Probabilistic Graphical Models, including the basic theory of Bayesian Networks and Markov Random Fields, as well as inference and learning algorithms and applications.
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GraphicalModelsVariationalMethodsandMessagePassing
From: VideoLectures on Wed, Oct 13 2010 7:35 PM
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InferenceinGraphicalModels
From: VideoLectures on Wed, Oct 13 2010 6:53 PM
This short course will cover the basics of inference in graphical models. It will start by explaining the theory of probabilistic graphical models, including concepts of conditional independence and factorisation and how they arise in both Markov random fields and Bayesian Networks. He will ...
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GraphicalModelsforSpeechRecognitionArticulatoryandAudioVisualModels
From: VideoLectures on Wed, Oct 13 2010 6:33 PM
Since the 1980s, the main approach to automatic speech recognition has been using hidden Markov models (HMMs), in which each state corresponds to a phoneme or part of a phoneme in the context of the neighboring phonemes. Despite their crude approximation of the speech signal, and the large margi...
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1BillionInstances1ThousandMachinesand35Hours
From: VideoLectures on Wed, Oct 13 2010 6:13 PM
Training conditional maximum entropy models on massive data sets requires significant computational resources, but by distributing the computation, training time can be significant reduced. Recent theoretical results have demonstrated conditional maximum entropy models trained by weight mixtures...
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GraphicalModels
From: VideoLectures on Wed, Oct 13 2010 5:55 PM
In the last decade probabilistic graphical models — in particular Bayes networks and Markov networks -- became very popular as tools for structuring uncertain knowledge about a domain of interest and for building knowledge-based systems that allow sound and efficient inferences about this...
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ProbabilisticGraphicalModelsandStructuredPrediction
From: VideoLectures on Wed, Oct 13 2010 5:13 PM
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ProceduralModelingofArchitecturesTowardsLargeScaleVisualReconstruction
From: VideoLectures on Wed, Oct 13 2010 4:28 PM
Three-dimensional content is a novel modality used in numerous domains like navigation, post production & cinematography, architectural modeling and urban planning. These domains have benefited from the enormous progress has been made on 3D reconstruction from images. Such a problem consists of ...
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TreesforRegressionandClassification
From: VideoLectures on Tue, Oct 12 2010 4:08 PM
Tree models are widely used for regression and classification problems, with interpretability and ease of implementation being among their chief attributes. Despite the widespread use tree models, a comprehensive theoretical analysis of their performance has only begun to emerge in recent years....
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LearningDictionariesofStableAutoregressiveModelsforAudioSceneAnalysis
From: VideoLectures on Tue, Oct 12 2010 4:01 PM
In this paper, we explore an application of basis pursuit to audio scene analysis. The goal of our work is to detect when certain sounds are present in a mixed audio signal. We focus on the regime where out of a large number of possible sources, a small but unknown number combine and overlap t...
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ReadingTeaLeavesHowHumansInterpretTopicModels
From: VideoLectures on Mon, Oct 11 2010 5:36 PM
Probabilistic topic models are a commonly used tool for analyzing text data, where the latent topic representation is used to perform qualitative evaluation of models and guide corpus exploration. Practitioners typically assume that the latent space is semantically meaningful, but this important...
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HowtoAddDecimalsUsingModels
From: 5min.com on AOL on Wed, Jun 09 2010 2:48 PM
TenMarks teaches you how to be able to add decimals using models.
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HowtoIdentifyDecimalPlaceValueUsingModelsandNumbersLines
From: 5min.com on AOL on Wed, Jun 09 2010 2:47 PM
TenMarks teaches you how to identify decimal place value using models and number lines.
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HowtoMultiplyBy1DigitNumbersUsingModels
From: 5min.com on AOL on Wed, Jun 09 2010 2:47 PM
TenMarks teaches you how to multiply by 1 digit numbers using models.
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HowtoAddUsingModels
From: 5min.com on AOL on Wed, Jun 09 2010 2:47 PM
TenMarks teaches you how to be able to easily add using models.
0 of 5 Stars

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