<p>Comparison of performance between the proposed active learning method versus uniformly sampling from all stimuli. Spiking trains were simulated using a Leaky Integrate and Fire model, but the recovered networks were done using the proposed Poisson GLM. The experiment consisted of 500 sample interventions, with an initial 500 sample observation. Whisker plots are obtained from 10 independent trials.</p
Windowed active sampling for reliable neural learning The composition of the example set has a major...
<p><i>N</i> = 40,000, <i>K</i> = 800. <i>J</i><sub>0</sub> = 2, <i>I</i><sub>0</sub> = 0.3, <i>τ</i>...
Copyright © 2006 IEEEActive probes of network performance represent samples of the underlying perfor...
<p>The experiment consisted of 500 sample interventions, with an initial 500 sample observation. Whi...
<p>The experiment consisted of 500 sample interventions, with an initial 500 sample observation. Whi...
<p>Performance was measured as the difference in the number of batches to achieve (A,B) 100% or (C,D...
Active probes of network performance represent samples of the underlying performance of a system. So...
The composition of the example set has a major impact on the quality of neural learning. The popular...
This paper presents a rigorous statistical analysis characterizing regimes in which active learning ...
Pool-based active learning is an important technique that helps reduce labeling efforts within a poo...
Active learning (AL) is a branch of machine learning that deals with problems where unlabeled data i...
<p>Recordings of spiking activity of a neuron population and the presented visual stimuli are fed in...
<p>Rows show inferred connections over a simulated cluster as a function of samples. Red and blue ed...
I study active learning in general pool-based active learning models as well noisy active learning a...
This paper presents a rigorous statistical analysis characterizing regimes in which active learning ...
Windowed active sampling for reliable neural learning The composition of the example set has a major...
<p><i>N</i> = 40,000, <i>K</i> = 800. <i>J</i><sub>0</sub> = 2, <i>I</i><sub>0</sub> = 0.3, <i>τ</i>...
Copyright © 2006 IEEEActive probes of network performance represent samples of the underlying perfor...
<p>The experiment consisted of 500 sample interventions, with an initial 500 sample observation. Whi...
<p>The experiment consisted of 500 sample interventions, with an initial 500 sample observation. Whi...
<p>Performance was measured as the difference in the number of batches to achieve (A,B) 100% or (C,D...
Active probes of network performance represent samples of the underlying performance of a system. So...
The composition of the example set has a major impact on the quality of neural learning. The popular...
This paper presents a rigorous statistical analysis characterizing regimes in which active learning ...
Pool-based active learning is an important technique that helps reduce labeling efforts within a poo...
Active learning (AL) is a branch of machine learning that deals with problems where unlabeled data i...
<p>Recordings of spiking activity of a neuron population and the presented visual stimuli are fed in...
<p>Rows show inferred connections over a simulated cluster as a function of samples. Red and blue ed...
I study active learning in general pool-based active learning models as well noisy active learning a...
This paper presents a rigorous statistical analysis characterizing regimes in which active learning ...
Windowed active sampling for reliable neural learning The composition of the example set has a major...
<p><i>N</i> = 40,000, <i>K</i> = 800. <i>J</i><sub>0</sub> = 2, <i>I</i><sub>0</sub> = 0.3, <i>τ</i>...
Copyright © 2006 IEEEActive probes of network performance represent samples of the underlying perfor...