Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines von Cho, KyungHyun, Ilin, Alexander, Raiko, Tapani

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Variational Bayesian learning of nonlinear hidden state-space models for model predictive control von Raiko, Tapani, Tornio, Matti

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A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines von Cho, KyungHyun, Raiko, Tapani, Ilin, Alexander, Karhunen, Juha

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Measuring the usefulness of hidden units in Boltzmann machines with mutual information von Berglund, Mathias, Raiko, Tapani, Cho, Kyunghyun

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Enhanced Gradient for Training Restricted Boltzmann Machines von Cho, KyungHyun, Raiko, Tapani, Ilin, Alexander

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Two-layer contractive encodings for learning stable nonlinear features von Schulz, Hannes, Cho, Kyunghyun, Raiko, Tapani, Behnke, Sven

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Binary principal component analysis in the Netflix collaborative filtering task von Kozma, L., Ilin, A., Raiko, T.

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Semi-supervised anomaly detection – towards model-independent searches of new physics von Kuusela, Mikael, Vatanen, Tommi, Malmi, Eric, Raiko, Tapani, Aaltonen, Timo, Nagai, Yoshikazu

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Machine learning for signal processing 2010 von Peltonen, Jaakko, Raiko, Tapani, Kaski, Samuel

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Logical Hidden Markov Models von Kersting, K., De Raedt, L., Raiko, T.

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Nonlinear relational markov networks with an application to the game of go von RAIKO, Tapani

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Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation von Wang, Huiling, Raiko, Tapani, Lensu, Lasse, Wang, Tinghuai, Karhunen, Juha

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Missing-Feature Reconstruction With a Bounded Nonlinear State-Space Model von Remes, U., Palomaki, K. J., Raiko, T., Honkela, A., Kurimo, M.

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Learning Deep Belief Networks from Non-stationary Streams von Calandra, Roberto, Raiko, Tapani, Deisenroth, Marc Peter, Pouzols, Federico Montesino

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Linear State-Space Model with Time-Varying Dynamics von Luttinen, Jaakko, Raiko, Tapani, Ilin, Alexander

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Pushing Stochastic Gradient towards Second-Order Methods – Backpropagation Learning with Transformations in Nonlinearities von Vatanen, Tommi, Raiko, Tapani, Valpola, Harri, LeCun, Yann

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Measuring the Usefulness of Hidden Units in Boltzmann Machines with Mutual Information von Berglund, Mathias, Raiko, Tapani, Cho, KyungHyun

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Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts von Raitio, Juha, Raiko, Tapani, Honkela, Timo

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Parallel tempering is efficient for learning restricted Boltzmann machines von KyungHyun Cho, Raiko, Tapani, Ilin, Alexander

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Tikhonov-Type Regularization for Restricted Boltzmann Machines von Cho, KyungHyun, Ilin, Alexander, Raiko, Tapani

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