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Machine Learning

最近発刊の雑誌の目次より: Machine Learning © Springer
  • Smooth relevance vector machine: a smoothness prior extension of the RVM
    Machine Learning, Vol. 68, No. 2. (August 2007), pp. 107-135.
    by Schmolck, Alexander, Everson, Richard
  • On the use of ROC analysis for the optimization of abstaining classifiers
    Machine Learning, Vol. 68, No. 2. (August 2007), pp. 137-169.
    by Pietraszek, Tadeusz
  • Structured large margin machines: sensitive to data distributions
    Machine Learning, Vol. 68, No. 2. (2007), pp. 171-200.
    by Daniel Yeung, Defeng Wang, Wing Ng, Eric Tsang, Xizhao Wang
    posted by 1 person alexn
  • Density estimation with stagewise optimization of the empirical risk
    Machine Learning, Vol. 67, No. 3. (June 2007), pp. 169-195.
    by Klemela, Jussi
  • Stability of Unstable Learning Algorithms
    Machine Learning, Vol. 67, No. 3. (June 2007), pp. 197-206.
    by Hush, Don, Scovel, Clint, Steinwart, Ingo
    posted by 1 person sdvillal
  • Multi-Class Learning by Smoothed Boosting
    Machine Learning, Vol. 67, No. 3. (June 2007), pp. 207-227.
    by Jin, Rong, Zhang, Jian
  • Introduction to the special issue on learning and computational game theory
    Machine Learning, Vol. 67, No. 1-2. (May 2007), pp. 3-6.
    by Greenwald, Amy, Littman, Michael
    posted by 1 person corma_pd
  • Slow emergence of cooperation for win-stay lose-shift on trees
    Machine Learning, Vol. 67, No. 1-2. (May 2007), pp. 7-22.
    by Mossel, Elchanan, Roch, Sebastien
  • AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents
    Machine Learning, Vol. 67, No. 1-2. (May 2007), pp. 23-43.
    by Conitzer, Vincent, Sandholm, Tuomas
    posted by 1 person kurtdriessens
  • A general criterion and an algorithmic framework for learning in multi-agent systems
    Machine Learning, Vol. 67, No. 1-2. (May 2007), pp. 45-76.
    by Powers, Rob, Shoham, Yoav, Vu, Thuc
  • Online calibrated forecasts: Memory efficiency versus universality for learning in games
    Machine Learning, Vol. 67, No. 1-2. (May 2007), pp. 77-115.
    by Mannor, Shie, Shamma, Jeff, Arslan, Gurdal
  • Bidding agents for online auctions with hidden bids
    Machine Learning, Vol. 67, No. 1-2. (May 2007), pp. 117-143.
    by Jiang, Albert, Leyton-Brown, Kevin
  • Learning payoff functions in infinite games
    Machine Learning, Vol. 67, No. 1-2. (May 2007), pp. 145-168.
    by Vorobeychik, Yevgeniy, Wellman, Michael, Singh, Satinder
  • Guest editorial: Learning theory
    Machine Learning, Vol. 66, No. 2-3. (March 2007), pp. 115-118.
    by Bousquet, Olivier, Elisseeff, Andre
  • Suboptimal behavior of Bayes and MDL in classification under misspecification
    Machine Learning, Vol. 66, No. 2-3. (March 2007), pp. 119-149.
    by Grunwald, Peter, Langford, John
    posted by 1 person mmunson
  • A new PAC bound for intersection-closed concept classes
    Machine Learning, Vol. 66, No. 2-3. (March 2007), pp. 151-163.
    by Auer, Peter, Ortner, Ronald
  • Model selection by bootstrap penalization for classification
    Machine Learning, Vol. 66, No. 2-3. (March 2007), pp. 165-207.
    by Fromont, Magalie
  • Optimal dyadic decision trees
    Machine Learning, Vol. 66, No. 2-3. (March 2007), pp. 209-241.
    by Blanchard, , Schafer, , Rozenholc, , Muller, -R
  • A framework for statistical clustering with constant time approximation algorithms for K-median and K-means clustering
    Machine Learning
    by Shai Ben-David
    posted by 3 people zoop noa amoswish
  • Statistical properties of kernel principal component analysis
    Machine Learning, Vol. 66, No. 2-3. (March 2007), pp. 259-294.
    by Blanchard, Gilles, Bousquet, Olivier, Zwald, Laurent
  • Statistical properties of kernel principal component analysis
    Machine Learning, Vol. 66, No. 2-3. (March 2007), pp. 295-295.
    by Zwald, Laurent
  • Feature space perspectives for learning the kernel
    Machine Learning, Vol. 66, No. 2-3. (March 2007), pp. 297-319.
    by Micchelli, Charles, Pontil, Massimiliano
    posted by 1 person jccaicedo
  • Improved second-order bounds for prediction with expert advice
    Machine Learning, Vol. 66, No. 2-3. (March 2007), pp. 321-352.
    by Cesa-Bianchi, Nicolo, Mansour, Yishay, Stoltz, Gilles
    posted by 1 person gagliol
  • Guest editorial to the special issue on grammatical inference
    Machine Learning, Vol. 66, No. 1. (January 2007), pp. 3-5.
    by Paliouras, Georgios, Sakakibara, Yasubumi
  • LARS: A learning algorithm for rewriting systems
    Machine Learning, Vol. 66, No. 1. (January 2007), pp. 7-31.
    by Eyraud, Remi, Higuera, Colin, Janodet, Jean-Christophe
  • Interactive learning of node selecting tree transducer
    Machine Learning, Vol. 66, No. 1. (January 2007), pp. 33-67.
    by Carme, Julien, Gilleron, Remi, Lemay, Aurelien, Niehren, Joachim
  • Learning finite-state models for machine translation
    Machine Learning, Vol. 66, No. 1. (January 2007), pp. 69-91.
    by Casacuberta, Francisco, Vidal, Enrique
  • Learning deterministic context free grammars: The Omphalos competition
    Machine Learning, Vol. 66, No. 1. (January 2007), pp. 93-110.
    by Clark, Alexander
  • Semi-supervised model-based document clustering: A comparative study
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 3-29.
    by Zhong, Shi
  • The max-min hill-climbing Bayesian network structure learning algorithm
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 31-78.
    by Tsamardinos, Ioannis, Brown, Laura, Aliferis, Constantin
    posted by 3 people pliz naegele dhein1030
  • Kernels as features: On kernels, margins, and low-dimensional mappings
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 79-94.
    by Balcan, Maria-Florina, Blum, Avrim, Vempala, Santosh
    posted by 1 person Scis0000002
  • Cost curves: An improved method for visualizing classifier performance
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 95-130.
    by Drummond, Chris, Holte, Robert
    posted by 4 people mdreid justintalbot tubbens Statistical Machine Learning
  • MODL: A Bayes optimal discretization method for continuous attributes
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 131-165.
    by Boulle, Marc
    posted by 1 person welchr
  • Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 167-198.
    by George, Abraham, Powell, Warren
  • Learning decomposable markov networks in pseudo-independent domains with local evaluation
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 199-227.
    by Xiang, , Lee,
  • An efficient top-down search algorithm for learning Boolean networks of gene expression
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 229-245.
    by Nam, Dougu, Seo, Seunghyun, Kim, Sangsoo
  • An analysis of diversity measures
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 247-271.
    by Tang, , Suganthan, , Yao,
  • Training a reciprocal-sigmoid classifier by feature scaling-space
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 273-308.
    by Toh, Kar-Ann
  • A suffix tree approach to anti-spam email filtering
    Machine Learning, Vol. 65, No. 1. (October 2006), pp. 309-338.
    by Pampapathi, Rajesh, Mirkin, Boris, Levene, Mark
  • Machine learning and games
    Machine Learning, Vol. 63, No. 3. (June 2006), pp. 211-215.
    by Bowling, Michael, Furnkranz, Johannes, Graepel, Thore, Musick, Ron
  • Adaptive game AI with dynamic scripting
    Machine Learning, Vol. 63, No. 3. (June 2006), pp. 217-248.
    by Spronck, Pieter, Ponsen, Marc, Sprinkhuizen-Kuyper, Ida, Postma, Eric
    posted by 2 people aldershoff mabahamo
  • Universal parameter optimisation in games based on SPSA
    Machine Learning, Vol. 63, No. 3. (June 2006), pp. 249-286.
    by Kocsis, Levente, Szepesvari, Csaba
  • Learning to bid in bridge
    Machine Learning, Vol. 63, No. 3. (June 2006), pp. 287-327.
    by Amit, Asaf, Markovitch, Shaul
  • Learning long-term chess strategies from databases
    Machine Learning, Vol. 63, No. 3. (June 2006), pp. 329-340.
    by Sadikov, Aleksander, Bratko, Ivan
  • Asymptotic analysis of temporal-difference learning algorithms with constant step-sizes
    Machine Learning, Vol. 63, No. 2. (May 2006), pp. 107-133.
    by Vladislav Tadic
  • Classification using Hierarchical Naive Bayes models
    Machine Learning, Vol. 63, No. 2. (May 2006), pp. 135-159.
    by Helge Langseth, Thomas Nielsen
  • An algorithmic theory of learning: Robust concepts and random projection
    Machine Learning, Vol. 63, No. 2. (May 2006), pp. 161-182.
    by Rosa Arriaga, Santosh Vempala
  • Classification-based objective functions
    Machine Learning, Vol. 63, No. 2. (May 2006), pp. 183-205.
    by Michael Rimer, Tony Martinez
  • Extremely randomized trees
    Machine Learning, Vol. 63, No. 1. (April 2006), pp. 3-42.
    by Pierre Geurts, Damien Ernst, Louis Wehenkel
  • Data-guided model combination by decomposition and aggregation
    Machine Learning, Vol. 63, No. 1. (April 2006), pp. 43-67.
    by Mingyang Xu, Michael Golay
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