News mlpy 3.5.0 released (2012-03-12). mlpy 3.4.0 released (2012-01-09). mlpy 3.3.0 released (2011-12-19). From this version, mlpy for Windows is compiled with Visual Studio Express 2008 in order to avoid runtime errors. mlpy 3.2.1 released (2011-12-9). From this version mlpy is available both for Python >=2.6 and Python 3.X. mlpy 3.2 released (2011-12-5) mlpy 3.1 released (2011-12-1) mlpy is a Py

mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and efficiency. mlpy is multiplatform, it works with Pytho

We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic topic models, STC relaxes the normalization constraint of admixture proportions and the constraint of defining a normalized likelihood function. Such relaxations make STC amenable to: 1) directly control the sparsity of in

Advances in Neural Information Processing Systems 24 (NIPS 2011) The papers below appear in Advances in Neural Information Processing Systems 24 edited by J. Shawe-Taylor and R.S. Zemel and P.L. Bartlett and F. Pereira and K.Q. Weinberger. They are proceedings from the conference, "Neural Information Processing Systems 2011." Maximum Margin Multi-Instance Learning Hua Wang, Heng Huang, Farhad Kama

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