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Št. zadetkov: 5
Multi-Task Feature Selection Using the Multiple Inclusion Criterion (MIC)
Partha Pratim Talukdar
Video in druga učna gradiva
Oznake:
We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one can “borrow strength” across these tasks to get a more sensitive criterion for deciding which features to select. We propose a novel ...
Leto: 2009 Vir: videolectures.net
New Regularized Algorithms for Transducitve Learning
Partha Pratim Talukdar
Video in druga učna gradiva
Oznake: computer science;machine learning;semi-supervised learning
We propose a new graph-based label propagation algorithm for transductive learning. Each example is associated with a vertex in an undirected graph and a weighted edge between two vertices represents similarity between the two corresponding example. We build on Adsorption, a recently proposed algori ...
Leto: 2009 Vir: videolectures.net
DRASO: Declaratively Regularized Alternating Structural Optimization
Partha Pratim Talukdar
Video in druga učna gradiva
Oznake:
Recent work has shown that Alternating Structural Optimization (ASO) can improve supervised learners by learning feature representations from unlabeled data. However, there is no natural way to include prior knowledge about features into this frame- work. In this paper, we present Declar- atively ...
Leto: 2008 Vir: videolectures.net
A Rate-Distortion One-Class Model and its Applications to Clustering
Partha Pratim Talukdar
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering
We study the problem of one-class classification, in which we seek a rule to separate a coherent subset of instances similar to a few positive examples from a large pool of instances. We find that the problem can be formulated naturally in terms of a rate-distortion tradeoff, which can be analyzed p ...
Leto: 2008 Vir: videolectures.net
Never-Ending Language Learning (NELL)
Partha Pratim Talukdar
Video in druga učna gradiva
Oznake: computer science;text mining
Leto: 2013 Vir: videolectures.net
Št. zadetkov: 5
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