Computer Science

One sketch for all: Theory and Application of Conditional Random Sampling NeurIPS 2008 Online Metric Learning and Fast Similarity Search NeurIPS 2008 Online Prediction on Large Diameter Graphs NeurIPS 2008 Predictive Indexing for Fast Search NeurIPS 2008 QUIC-SVD: Fast SVD Using Cosine Trees NeurIPS 2008 Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NeurIPS 2008 Spectral Hashing NeurIPS 2008 Target Enumeration via Integration over Planar Sensor Networks RSS 2008 Tighter Bounds for Structured Estimation NeurIPS 2008 A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NeurIPS 2007 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 A learning framework for nearest neighbor search NeurIPS 2007 An experimental study of exploiting multipath fading for robot communications RSS 2007 An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NeurIPS 2007 Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning RSS 2007 Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NeurIPS 2007 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 Kernels on Attributed Pointsets with Applications NeurIPS 2007 Learning the structure of manifolds using random projections NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007 Message Passing for Max-weight Independent Set NeurIPS 2007 Mining Internet-Scale Software Repositories NeurIPS 2007 Parallelizing Support Vector Machines on Distributed Computers NeurIPS 2007