conftrace_

ACML 2010

22 papers

Conceptual Imitation Learning: An Application to Human-robot Interaction

Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Mostafa Ajallooeian, Babak Araabi, Hadi Moradi

A Study of Approximate Inference in Probabilistic Relational Models

Fabian Kaelin, Doina Precup

Finite-sample Analysis of Bellman Residual Minimization

Odalric-ambrym Maillard, Rémi Munos, Alessandro Lazaric, Mohammad Ghavamzadeh

Adaptive Step-size Policy Gradients with Average Reward Metric

Takamitsu Matsubara, Tetsuro Morimura, Jun Morimoto

Multi-task Learning for Recommender System

Xia Ning, George Karypis

Hierarchical Convex NMF for Clustering Massive Data

Kristian Kersting, Mirwaes Wahabzada, Christian Thurau, Christian Bauckhage

Mining Recurring Concept Drifts with Limited Labeled Streaming Data

Peipei Li, Xindong Wu, Xuegang Hu

Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking

Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer

Decision Tree for Dynamic and Uncertain Data Streams

Chunquan Liang, Yang Zhang, Qun Song

Generative Models of Information Diffusion with Asynchronous Timedelay

Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda

Exploiting the High Predictive Power of Multi-class Subgroups

Tarek Abudawood, Peter Flach

An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models

Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato, Shin-ichi Minato

Single versus Multiple Sorting in All Pairs Similarity Search

Yasuo Tabei, Takeaki Uno, Masashi Sugiyama, Koji Tsuda

The Coding Divergence for Measuring the Complexity of Separating Two Sets

Mahito Sugiyama, Akihiro Yamamoto

Content-based Image Retrieval with Multinomial Relevance Feedback

Dorota Glowacka, John Shawe-Taylor

Hierarchical Gaussian Process Regression

Sunho Park, Seungjin Choi

Variational Relevance Vector Machine for Tabular Data

Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Hassner

Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation

Han Xiao, Thomas Stibor

Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering

Bo Dai, Baogang Hu

Ellipsoidal Support Vector Machines

Michinari Momma, Kohei Hatano, Hiroki Nakayama

Learning Polyhedral Classifiers Using Logistic Function

Naresh Manwani, P. S. Sastry

Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models

Aapo Hyvärinen