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The Regularization Frontier in Machine Learning The Regularization Frontier in Machine Learning
Channel: VideoLectures
Length: 3263
Date: October 13, 2010
Machine Learning algorithms often involve the joint optimization of several objective functions for achieving good generalization performance. Well...
Learning a Region-based Scene Segmentation Model Learning a Region-based Scene Segmentation Model
Channel: VideoLectures
Length: 0
Date: October 13, 2010
In recent years, machine learning has seen the development of a series of algorithms for parameter learning that avoid estimating the partition fu...
Statistical learning theory Statistical learning theory
Channel: VideoLectures
Length: 2482
Date: October 13, 2010
- Learning Theory: Foundations and Goals - Learning Bounds: Ingredients and Results - Implications: What to conclude from bounds
Statistical learning theory Statistical learning theory
Channel: VideoLectures
Length: 3148
Date: October 13, 2010
- Learning Theory: Foundations and Goals - Learning Bounds: Ingredients and Results - Implications: What to conclude from bounds
Statistical learning theory Statistical learning theory
Channel: VideoLectures
Length: 2725
Date: October 13, 2010
- Learning Theory: Foundations and Goals - Learning Bounds: Ingredients and Results - Implications: What to conclude from bounds
Personalized Click Prediction in Sponsored Search Personalized Click Prediction in Sponsored Search
Channel: VideoLectures
Length: 0
Date: October 13, 2010
Sponsored search is a multi-billion dollar business that generates most of the revenue for search engines. Predicting the probability that users cl...
Lecture 10 - Quantitative Aspects Lecture 10 - Quantitative Aspects
Channel: VideoLectures
Length: 0
Date: October 13, 2010
Census data is often politically influenced and hence inaccurate. The birthrate in developing countries is nearly twice that in developed countries...
Pattern Analysis and Scientific Method,  Privacy and Intelligent Machines Pattern Analysis and Scientific Method, Privacy and Intelligent Machines
Channel: VideoLectures
Length: 2655
Date: October 13, 2010
Disclaimer: Videolectures.Net emphasises that the audio quality of this video could not be improved, due to poor audio quality conditions provided...
Neural Networks for State Evaluation in General Game Playing Neural Networks for State Evaluation in General Game Playing
Channel: VideoLectures
Length: 0
Date: October 13, 2010
Unlike traditional game playing, General Game Playing is concerned with agents capable of playing classes of games. Given the rules of an unknown ...
IMDS: Intelligent Malware Detection System IMDS: Intelligent Malware Detection System
Channel: VideoLectures
Length: 0
Date: October 13, 2010
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail...
1 Billion Instances,  1 Thousand Machines and 3.5 Hours 1 Billion Instances, 1 Thousand Machines and 3.5 Hours
Channel: VideoLectures
Length: 0
Date: October 13, 2010
Training conditional maximum entropy models on massive data sets requires significant computational resources, but by distributing the computation...
Story of SamaaTV Story of SamaaTV
Channel: VideoLectures
Length: 0
Date: October 13, 2010
Check the YouTube video mentioned in the presentation here
Dimensionality Reduction Dimensionality Reduction
Channel: VideoLectures
Length: 2983
Date: October 13, 2010
This presentation discusses methods for dimensionality reduction.
Lecture 24: Cognitive Development Through the Life Span 1 Lecture 24: Cognitive Development Through the Life Span 1
Channel: VideoLectures
Length: 0
Date: October 13, 2010
Unsupervised Structure Learning: Hierarchical Recursive Composition,  Suspicious Coincidence and Competitive Exclusion Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Channel: VideoLectures
Length: 0
Date: October 13, 2010
We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is un...
Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries
Channel: VideoLectures
Length: 0
Date: October 13, 2010
Applying numerical optimisation methods in the field of aerodynamic design optimisation normally leads to a huge amount of heterogeneous design dat...
Latent Variable Models for Document Analysis Latent Variable Models for Document Analysis
Channel: VideoLectures
Length: 1844
Date: October 13, 2010
Wray Buntine will consider various problems in document analysis (named entity recognition, natural language parsing, information retrieval), an...
Latent Variable Models for Document Analysis Latent Variable Models for Document Analysis
Channel: VideoLectures
Length: 3486
Date: October 13, 2010
Wray Buntine will consider various problems in document analysis (named entity recognition, natural language parsing, information retrieval), an...
Reinforcement Learning Theory Reinforcement Learning Theory
Channel: VideoLectures
Length: 3260
Date: October 13, 2010
The tutorial is on several new pieces of Reinforcement learning theory developed in the last 7 years. This includes: 1. Sample based analysis of RL...
Reinforcement Learning Theory Reinforcement Learning Theory
Channel: VideoLectures
Length: 4882
Date: October 13, 2010
The tutorial is on several new pieces of Reinforcement learning theory developed in the last 7 years. This includes: 1. Sample based analysis of RL...
Page: 34 of 50Previous Page303132333435363738Next Page
 
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