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26 Feb 2018: As well as this the indi-vidual cavity-qubit systems are surrounded by their ownradiation shields made from a special alloy Amumetalthat is annealed in a dry Hydrogen atmosphere for

29 Nov 2018: We mention that in thecase d = 1, Doss and Wellner (2016b) proved thatd2H(f̂n, f0) = Op(n4/5) for each fixed f0 F1, andindeed showed that the same rate holds for ... Then. supx0I. f̂n(x0) f0(x0) = Op((. log n. n. )β/(2β1)). Here the log-concave MLE

4 Jan 2018: copy. right. Geo. ffre. y G. rimm. ett. Probability on Graphs. Random Processes. on Graphs and LatticesSecond Edition, 2018. GEOFFREY GRIMMETT. Statistical LaboratoryUniversity of Cambridge. copy. right. Geo. ffre. y G. rimm. ettGeoffrey Grimmett.

3 Apr 2018: Alpha Oscillations during Incidental Encoding PredictSubsequent Memory for New “Foil” Information. David A. Vogelsang1, Matthias Gruber2,3, Zara M. Bergström4,Charan Ranganath2, and Jon S. Simons1. Abstract. People can employ adaptive

13 Dec 2018: op- erator A - l.

13 Dec 2018: but (10) will be more convenient for us because explicitly it involves only second as op-posed to fourth order derivatives inx.) The above will be applied below to the recovery

13 Dec 2018: operator’’M,whose entries are themselves 232 matrices; this matrix op-erator is lower triangular, and can therefore be inverted eciently.

13 Dec 2018: 1 of 7 978-1-4244-2677-5/08/$25.00 2008 IEEE. FAILURE PREDICTION AND DIAGNOSIS FOR SATELLITE MONITORING SYSTEMS USING BAYESIAN NETWORKS. Steven Bottone, Daniel Lee. DataPath, Inc., 13025 Danielson Street, Suite 200, Poway, CA 92064. Michael

16 Aug 2018: Since all other terms in (6.15) are finite op-erators the sum of the last two terms, which are a total divergence, must also be finite.Hence we write.

23 Sep 2018: Multistep Inhibition of α‑Synuclein Aggregation and Toxicity in Vitroand in Vivo by TrodusquemineMichele Perni,†,‡, Patrick Flagmeier,†,‡, Ryan Limbocker,†,‡, Roberta Cascella,. Francesco A. Aprile,†,‡ Ceĺine Galvagnion,†,

23 Sep 2018: Sequence analysis. Parapred: antibody paratope prediction using. convolutional and recurrent neural networks. Edgar Liberis1,, Petar Velickovic1, Pietro Sormanni2,,Michele Vendruscolo2 and Pietro Liò1. 1Department of Computer Science and Technology

28 Dec 2018: Network Layer Optimization: The number of filters ineach layer of the unsupervised learning module are op-timized as part of the automated design process.

8 Jun 2018: The op-timized bias line width is 2 µm, so that its inductanceper unit length is sufficient to reduce its effect on thestructure.

20 Feb 2018: ruleset = ruledef";" { ruledef ";" } {dbasefile}ruledef = lassdef | lexdef lassdef = lassinst "->" [sub lass [ lassbody [ ond [prob lassbody = "(" [opt member { "," [opt member } ")"lexdef = lassinst "=" "(" atom[prob {"|" atom[prob ")"prob = "{"

20 Feb 2018: However, to generate an appropriate response it is onlynecessary for the system to decide between a few high level op-tions such as to confirm the last user input, ask for

20 Feb 2018: The advantage of this approach is that the op-timal transformation parameters can be determinedfrom the auxiliary function in a single pass over thedata[63].

20 Feb 2018: However,approx-imate solutions can still provide useful policies. The simplest ap-proach is to discretise belief space and then use standard MDP op-timisation methods [6].

20 Feb 2018: The ex-perimental results show that the policy op-timised in a restaurant search domain us-ing our domain-independent representa-tions can be deployed to a laptop sale do-main,

20 Feb 2018: NFp;. 2where Q is the set of all phone models and NF(p)the number of frames in the acoustic segment Op. ... Hence, the denominator score is de-termined by simply summing the log likelihood perframe over the duration of Op.

20 Feb 2018: S. sn. nsbsb. 1. )()(maxargˆ)( υππ (16). Thus the value-function method provides both a parti-tioning of belief space into regions corresponding to op-timal actions as well as the

20 Feb 2018: On-line active reward learning for policy op-timisation in spoken dialogue systems.

20 Feb 2018: Recent workby Graves et al. (2014) has demonstrated that anNN structure augmented with a carefully designedmemory block and differentiable read/write op-erations can learn to mimic computer programs.Moreover, the

20 Feb 2018: By op-timising directly against the desired objective func-tion such as BLEU score (Auli and Gao, 2014) orWord Error Rate (Kuo et al., 2002), the model canexplore its output space

20 Feb 2018: Hence defining an op-timal summary policy is not so obvious. If f is chosenwell, however, then one could hope that the optimal ac-tion is dependent only on f (b).

20 Feb 2018: Note that the reward model and the dialogue policy are being jointly op-timised during the sequence of dialogues.

20 Feb 2018: This Gaussian process op-erates on a continuous space dialogue rep-resentation generated in an unsupervisedfashion using a recurrent neural networkencoder-decoder.

20 Feb 2018: increases. Pop op-erations are then performed where possible, the tree is prunedand identical nodes are joined so that the number stays constantor decreases. ... Error bars indicate 99% con-fidence intervals. This demonstrates the competitiveness of the

20 Feb 2018: A comparison between the three op-tions is included in the experimental evaluation. ... whilst suffering initially.We hypothesise that the optimised SL pre-trainedparameters distributed very differently to the op-timal A2C ER parameters.

20 Feb 2018: In Section 3, the grid-based ap-. proach to policy optimisation is introduced followedby a presentation of the k-nn Monte-Carlo policy op-timization in Section 4, along with an ... 5 ConclusionIn this paper, an extension to a grid-based policy

20 Feb 2018: The op-tions for each random decision point are reason-able in the context in which it is encountered, buta uniform distribution of outcomes might not re-flect real user behaviour. ... Many of the decisions involvedare deterministic, allowing only one

20 Feb 2018: 4.2 Log-Linear Interpolation. Log-linear interpolation has been applied to languagemodel adaptation and has been shown to be equivalentto a constrained minimum Kullback-Leibler distance op-timisation problem(Klakow,

20 Feb 2018: 4.4 Conversational patterns. Given that the subjects felt the change of cognitiveload when they were talking to the system and op-erating the car simulator at the same time, we

20 Feb 2018: 5]. Here, we address the problem ofdecision-making. Moving from a limited domain dialogue system that op-erates on a relatively modest ontology to an open domain. ... 5. EXPERIMENTAL SET-UP. In order to examine the ability of the proposed method to

20 Feb 2018: the Q-function estimatewe expect during the process of learning and H is a linear op-erator that captures the reward lookahead from the Q-function(see Eq.

20 Feb 2018: Thisprovides increased robustness to errors in speechunderstanding and automatic dialogue policy op-timisation via reinforcement learning (Roy et al.,2000; Zhang et al., 2001; Williams and Young,2007; Young et al.,

20 Feb 2018: actions. The policy op-timisation is performed in interaction with a simulated user which gives a reward to the systemat the end of every dialogue.

24 Jan 2018: The HATMalso contains an additional 200-dimensional BiLSTM prompt-searchencoder. The ATM was trained for 5 epochs with the Adam op-timizer [19], an exponentially decaying learning rate with an

13 Mar 2018: Hand Tracking Using A Quadric Surface Model. R. Cipolla1 B. Stenger1 A. Thayananthan1 P. H. S. Torr2. 1 University of Cambridge, Department of Engineering, Trumpington Street,Cambridge, CB2 1PZ, UK. 2 Microsoft Research Ltd., 7 J J Thomson Ave,

13 Mar 2018: However, in contrast to image classification and somedeep learning lead problems of computer vision, semanticsegmentation (especially for autonomous driving) still op-erates on limited size datasets which do not exceed 5000labelled

13 Mar 2018: Please see Fig 1 for an illustration ofthese operations. We do not consider the other plausible op-erations for architectural refinement of CNN; for instance,arbitrary connection patterns between two layers ... 2. We introduce a strategy that starts with

13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.

13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.

13 Mar 2018: ntr. op. y L. os. s. Inp. ut. Ima. ge. L1.

13 Mar 2018: LeCun. Sceneparsing with multiscale feature learning, purity trees, and op-timal covers.

13 Mar 2018: Our implementation has been optimizedfor speed at an algorithmic level by use of second order op-timizers, and by limiting the number of polygon clippingsrequired, but has not been micro-optimized.

13 Mar 2018: However, the back-projectionfrom 2D to 3D is usually multi-modal, and this results ina non-convex objective function with multiple local op-tima, which is usually difficult to solve.

13 Mar 2018: Huffman coding [17] is related to our op-timisation. It minimises the weighted (by region prior in our problem) path length of code(region).

13 Mar 2018: Learning Shape Priors for Single View Reconstruction. Yu Chen and Roberto CipollaDepartment of Engineering, University of Cambridge. {yc301 and rc10001}@cam.ac.uk. Abstract. In this paper, we aim to reconstruct free-from 3D mod-els from a single

13 Mar 2018: rize human action and gesture classes in videos. Traditional. approaches based on explicit motion estimation require op-.

13 Mar 2018: The optimal. values were found to be2.3 and6.2 for visual data; the op-timal filter for thermal data was found to be alow-passfilterwith W2 = 2.8 (i.e.