Biowulf Technologies

Support Vector Clustering Asa Ben-Hur (2008)

Biowulf Technologies, David Horn, Hava T. Siegelmann, Vladimir Vapnik, Nello Critianini, John Shawe-taylor, ...

We present a novel clustering method using the approach of support vector machines. Data points are mapped by means of a Gaussian kernel to a high dimensional feature space, where we search for the...

Support Vector Clustering Asa Ben-Hur (2008)

Biowulf Technologies, David Horn, Hava T. Siegelmann, Vladimir Vapnik, Nello Critianini, John Shawe-taylor, ...

We present a novel clustering method using the approach of support vector machines. Data points are mapped by means of a Gaussian kernel to a high dimensional feature space, where we search for the...

Support Vector Clustering Asa Ben-Hur (2008)

Biowulf Technologies, David Horn, Hava T. Siegelmann, Vladimir Vapnik, Nello Critianini, John Shawe-taylor, ...

We present a novel clustering method using the approach of support vector machines. Data points are mapped by means of a Gaussian kernel to a high dimensional feature space, where we search for the...

Journal of Machine Learning Research 2 (2001) 125-137 Submitted 3/04; Published 12/01 Support Vector Clustering (2007)

Biowulf Technologies, David Horn, Hava T. Siegelmann, Vladimir Vapnik, Nello Critianini, ...

We present a novel clustering method using the approach of support vector machines. Data points are mapped by means of a Gaussian kernel to a high dimensional feature space, where we search for the...

Support Vector Clustering Asa Ben-Hur (2007)

Biowulf Technologies, David Horn, Hava T. Siegelmann, Vladimir Vapnik, Nello Critianini, John Shawe-taylor, ...

We present a novel clustering method using the approach of support vector machines. Data points are mapped by means of a Gaussian kernel to a high dimensional feature space, where we search for the...

Experiments with infinite-horizon, policy-gradient estimation (2001)

Jonathan Baxter, Peter L. Bartlett, Biowulf Technologies, Lex Weaver

In this paper, we present algorithms that perform gradient ascent of the average reward in a partially observable Markov decision process (ÈÇÅ�È). These algorithms are based on �ÈÇÅ�È,...

Experiments with infinite-horizon, policy-gradient estimation (2001)

Jonathan Baxter, Peter L. Bartlett, Biowulf Technologies, Lex Weaver

In this paper, we present algorithms that perform gradient ascent of the average reward in a partially observable Markov decision process (ÈÇÅ�È). These algorithms are based on�ÈÇÅ�È,...